Search results “Data mining emerging trends in marketing”
Recent Trends in Database Technology
Recent Trends in Database Technology
EMERGING TRENDS: The Real Impact of Adaptive Marketing and Predictive Analytics | RAMACHANDRAN
The future of adaptive marketing and predictive analytics is playing out right now in the mobile and social games industry. The advent of connected devices and data-targeting has turned games into real-time marketing services, where every interaction with a player is a unique opportunity to engage them. In this session, Playnomics CEO Chethan Ramachandran will share how gaming companies leveraging predictive modeling and real-time targeted messaging strategies are able to identify LTV of their top monetizing players early, target the right players with the right messaging at the right time, and increase monetization and loyalty. Delivered at Casual Connect USA, August 2013 Download Slides: https://s3.amazonaws.com/Casual_Connect_USA_2013_Presentations/Chethan_Ramachandran_CCUSA_2013.pdf
Views: 842 CasualConnect
Space: The Next Trillion Dollar Industry
Get $20 off your Away suitcase by going to http://www.awaytravel.com/wendover and using the code “wendover” at check out Watch my appearance on StarTalk with Neil deGrasse Tyson: https://youtu.be/OTEIbWy8AvY Check out the behind the scenes video on my new channel: https://youtu.be/5N3aZTT3TRw Pre-order our new t-shirt with the new logo: https://store.dftba.com/products/wend... Subscribe to Half as Interesting (The other channel from Wendover Productions): https://www.youtube.com/halfasinteres... Check out my podcast with Brian from Real Engineering: http://apple.co/2ydYZOd (iTunes link) http://bit.ly/2gyeFle (YouTube link) Support Wendover Productions on Patreon: https://www.patreon.com/wendoverprodu... Youtube: http://www.YouTube.com/WendoverProduc... Twitter: http://www.Twitter.com/WendoverPro Email: [email protected] Reddit: http://Reddit.com/r/WendoverProductions Animation by Josh Sherrington (https://www.youtube.com/heliosphere) Sound by Graham Haerther (http://www.Haerther.net) Thumbnail by Joe Cieplinski (http://joecieplinski.com/) Big thanks to Patreon supporters: Harry Hendel, KyQuan Phong, M, Dani Torres, James Hughes, Michael Javault, Pete, Ken Lee, Victor Zimmer, Dylan Benson, Etienne Dechamps, Alec M Watson, Nathaniel Lawrence, Chris Allen, John & Becki Johnston, Connor J Smith, Arkadiy Kulev, Eyal Matsliah, Joseph Bull, Hank Green, Plinio Correa Outro song by Ryan Little
Views: 1246513 Wendover Productions
The Internet of Things, Big Data and Privacy: Future Directions for Marketing Research
Professor Robert W Palmatier, the John C. Narver Endowed Professor in Business and Administration in the Marketing Department at the University of Washington’s Foster School of Business, visited the Indian School of Business in April 2018 as part of the Thought Leaders Conference on Managing Business and Innovation in Emerging Markets. Professor S Arunachalam met him to discuss emerging trends in marketing and research.
Hunting for Emerging Trends in Music Using Bayesian Inference | SciPy 2017 | Alex Companioni
iHeartRadio is the largest owner of terrestrial radio stations in country, broadcasting continuously to over 850 stations across every major media market. Yet today, radio is just one of many different channels for music discovery. Streaming services and social media are revealing new underground artists and genres to music fans, as well as delivering more information into the hands of industry experts. During this talk, I will discuss how iHeartRadio uses Bayesian techniques to analyze various data sources to deliver the hottest new tracks to over 100 million registered users, while avoiding the most overplayed music. Researchers and analysts who are comfortable with the PyData toolset and interested in applications of Bayesian inference will enjoy this talk.
Views: 722 Enthought
Denis Laviolette: New Tech will Disrupt Mining Forever
To subscribe to our newsletter and get notified of new shows, please visit http://palisaderadio.com Denis Laviolette: New Tech will Disrupt Mining Forever Denis discusses the last bull market, a lot of money was spent in exploration, but few discoveries were found. Peak gold is, therefore, becoming an issue. As an industry, the ounces that have been mined are on the decline. Companies are amalgamating to obtain additional discovery potential. The smart money in the mining industry is still waiting on the sidelines. Time Stamp References: 1:20 – Peak gold due to lack of discoveries. 2:30 – Last bull market lots of data was collected. 4:20 – Smart money waiting on sidelines 6:00 – Mining needs to attract a new generation. 9:00 – A.I. and Machine Learning to process data. 11:30 – Analyze mining financials with A.I.
Views: 1760 Palisade Radio
2017 Business Intelligence Trends
Ometis' Sales Manager, Andy Patrick, discusses the new and emerging trends in business intelligence and what it takes to become a data-driven organisation.
Views: 600 Ometis
Data Mining of Magic the Gathering
Name: Darren Teo Domain: Card Game Data Mining Technique: Association Analysis Tools: Rapid Miner, Qlik Sense
Views: 133 Darren Teo
Data-Ed Online: Emerging Trends in Data Jobs
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers. Takeaways: Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy. Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation. There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
icCube for Retail company (Advanced Analytics & Data Mining capabilities)
Retail Technology Fair EuroCIS 2015
Views: 118 icCube
Business Analytics: Emerging Trends and Future Impacts
Business Analytics Emerging Trends
Twelve Emerging Trends in Data Analytics (part 1 of four)
Original blog post: http://sctr7.com/2014/07/09/twelve-emerging-trends-in-data-analytics-part-1-of-4/ Business analytics is a practitioner movement uniting several disciplines to drive value-creating decisions from data. Central disciplines include IT / computer science, statistics, data management, decision science, and scientific research methods. Descriptive, predictive, and prescriptive approaches are often used to categorize particular methodological approaches, themselves derived from the fields of business intelligence, financial forecasting and econometrics, and operations management, respectively. While speculative in nature, the intention is to raise consciousness concerning long-term trends for the sake of practitioners, particularly for planners concerned with long-term strategy. 1. Plumbers wanted: data management overhead demands professional data mungers 2. Hardening models: increasingly complex models require tighter approaches to diagnostics and validation 3. The tunnel link: big data engineering and methodological approaches meet in the middle
Views: 361 sark7
To Get Customer Insights, Don't Ask Questions
Richard Thorogood of Colgage-Palmolive describes how new technology is transforming market research, and how firms will need to adapt. Read more here: http://whr.tn/1DQxGpW
How to build a Text Mining Platform
Tiger Zhang & Lutz Finger on Text Mining Today more than ever before, we have access raw data in the form of texts. Businesses around the world store text discussions from their market research, customer care discussions, or brand relevant conversation on social media. While it is clear that texts contain valuable information, it is often less clear on how best texts can be analyzed at scale. In this class, we will share how we at LinkedIn built a scalable text-mining platform to uncover insights from text data. We will focus on two important components: THEME DISCOVERY of new content and how to CLASSIFY existing text. Using both features, we can detect emerging trends within reviews, customer care discussions and market research data. You will learn: THEME DISCOVERY - information extraction Theme recognition is a highly complex task due to the multi-facetted nature of our language. Theme Recognition (without requiring manual reviews) is, however, the main component of any text-mining platform. We will introduce an innovation in information extraction using part of speech tagging (currently patent pending) to uncover themes within textual data. TEXT CLASSIFICATIONS - Supervised Machine Learning Another important component of our NLP platform is the ability to classify text via supervised machine learning algorithms such as support vector machine (SVM). The ability to classify serves many business use-cases ranging from sentiment analytics to product identification. You will learn in our talk how to cater to those different requirements via a flexible platform setup. VALUE of DATA - Member Feedback The combined ability of Themes Discovery (new content and ideas) as well as Classifications (standard measure) creates a very effective framework to get business insights out of text data. We will demonstrate this on the use case of classifying and responding to member feedback.
Views: 12786 Lutz Finger
The Economics of Data: Implications for the Data-driven Economy
History has taught us that a leap in innovation is central to economic transformation. Humanity has gone through several notable economic transformations driven by innovation, from the Gutenberg press and the printing revolution that followed, to the assembly line and the industrial revolution. Today, society is witnessing the emergence of the data-driven economy, and the industrialization of the very process of learning. Although the data-driven economy is the successor to economic transformations of the past, many facets of it are unlike anything humanity has witnessed before. In this video, CIGI Senior Fellow Dan Ciuriak explains that there are at least five important ways that the data-driven economy is different than economic frameworks of the past: asymmetries in access to data (the central feature of the data-driven economy), the role of machine learning, rapidly increasing market concentration, new forms of trade and exchange value, and a new degree of systemic risk. Coming to grips with these five features in a timely manner is of the utmost importance to policy makers across the globe.
CAREERS IN DATA ANALYTICS - Salary , Job Positions , Top Recruiters
CAREERS IN DATA ANALYTICS - Salary , Job Positions , Top Recruiters What IS DATA ANALYTICS? Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses. As a term, data analytics predominantly refers to an assortment of applications, from basic business intelligence (BI), reporting and online analytical processing (OLAP) to various forms of advanced analytics. In that sense, it's similar in nature to business analytics, another umbrella term for approaches to analyzing data -- with the difference that the latter is oriented to business uses, while data analytics has a broader focus. The expansive view of the term isn't universal, though: In some cases, people use data analytics specifically to mean advanced analytics, treating BI as a separate category. Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources. Types of data analytics applications : At a high level, data analytics methodologies include exploratory data analysis (EDA), which aims to find patterns and relationships in data, and confirmatory data analysis (CDA), which applies statistical techniques to determine whether hypotheses about a data set are true or false. EDA is often compared to detective work, while CDA is akin to the work of a judge or jury during a court trial -- a distinction first drawn by statistician John W. Tukey in his 1977 book Exploratory Data Analysis. Data analytics can also be separated into quantitative data analysis and qualitative data analysis. The former involves analysis of numerical data with quantifiable variables that can be compared or measured statistically. The qualitative approach is more interpretive -- it focuses on understanding the content of non-numerical data like text, images, audio and video, including common phrases, themes and points of view. At the application level, BI and reporting provides business executives and other corporate workers with actionable information about key performance indicators, business operations, customers and more. In the past, data queries and reports typically were created for end users by BI developers working in IT or for a centralized BI team; now, organizations increasingly use self-service BI tools that let execs, business analysts and operational workers run their own ad hoc queries and build reports themselves. Keywords: being a data analyst, big data analyst, business analyst data warehouse, data analyst, data analyst accenture, data analyst accenture philippines, data analyst and data scientist, data analyst aptitude questions, data analyst at cognizant, data analyst at google, data analyst at&t, data analyst australia, data analyst basics, data analyst behavioral interview questions, data analyst business, data analyst career, data analyst career path, data analyst career progression, data analyst case study interview, data analyst certification, data analyst course, data analyst in hindi, data analyst in india, data analyst interview, data analyst interview questions, data analyst job, data analyst resume, data analyst roles and responsibilities, data analyst salary, data analyst skills, data analyst training, data analyst tutorial, data analyst vs business analyst, data mapping business analyst, global data analyst bloomberg, market data analyst bloomberg
Using Unstructured Text Data to Quantify Customer Perception
With the exponential growth of social media and new touchpoints, customers are interacting with brands and organizations at a much faster pace, generating volumes of unstructured data in the form of customer reviews, feedback, preferences, trends, etc. Other metadata such as demographic data, transaction data or point of sale data, when combined with unstructured data can help organizations better understand consumer behavior and market forces, at a much more granular and deeper level. This enables brands to make effective business decisions for profitable growth. In this webinar, attendees learned how unstructured data analytics adds value, reduces time and costs in the identification of key business problems, and helps organizations track the health of their brand image by monitoring emerging trends and identifying aspects of the business responsible for a particular customer sentiment. The webinar also covered and introduced our Unstructured Text Analytics Platform ("UTAP") which allows the automation of classification of unstructured text data to categories, enabling organizations to track customer categories/issues over a stipulated period of time, with faster and more efficient analysis of unstructured text data.
Views: 373 Course5i
Statistical Aspects of Data Mining (Stats 202) Day 1
Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 217065 GoogleTechTalks
Data management converges with modern BI platforms
Read our full 2019 business intelligence trends report: tabsoft.co/BITrends
Views: 363 Tableau Software
What is Business Intelligence (BI)?
There are many definitions for Business Intelligence, or BI. To put it simply, BI is about delivering relevant and reliable information to the right people at the right time with the goal of achieving better decisions faster. If you wanna have efficient access to accurate, understandable and actionable information on demand, then BI might be right for your organization. For more information, contact Hitachi Solutions Canada (canada.hitachi-solutions.com).
Views: 399132 Hitachi Solutions Canada
Palmer Holton, "Emerging Markets"
Explores the process by which data mining and digital "personalities" are constructed, and segments will be performed within stores who engage in this practice and purchase online information about their clients. http://palmerholton.wordpress.com
5 Technology Trends Influencing Healthcare in 2017
Convergence of IT and Healthcare technologies is seeing advancements in the various medical fields including telemedicine, health data storage and exchange, data mining and security. Following are top 5 tech trends from GAVS Technologies that can impact Health-care industry in 2017
Views: 2196 GAVS
Nielsen Data for Emerging Brands
What if you had detailed information about your category and the products in it so that you could successfully position your brand to grow? With market and product-related syndicated data you will better understand the market, your competition and answer key questions, such as: –What is the size of my category? –What is my product’s impact on the category? –How am I performing and how am I priced against the competition? –What is the effect of promotional events on my product performance?
Views: 207 CircleUp
The Future of Mining? | UQx on edX
Take this course for free on edx.org: https://www.edx.org/course/future-mining-uqx-miningx Building scenarios to explore the possible futures for the mining sector in 2040. About this course: What will the mining and minerals sector look like in 2040? This course aims to explore the risks, challenges and opportunities facing the mining industry over the next few decades. You will learn about scenario planning and how to use this approach as a strategic tool to consider a range of possible futures for the minerals sector, against the backdrop of uncertain future environments. You will also explore the current significant challenges for the sector as well as the impact of rapidly changing technologies, and how these combine with changing societal expectations and global trends in several possible futures. This interactive course incorporates videos, expert insights, simulations, discussions and scenarios to deepen your current understanding of the sector, and to encourage you to develop your own ideas about possible future directions. What you'll learn: The role of minerals in society and their contribution to sustainable development. The current issues and challenges confronting the sector. Emerging technologies and their impact across the value chain. The contribution of mining to the concept of the circular economy. New frameworks and policies for resource developments in the 21st century.
Views: 1309 edX
Data Mining
Accounting Information Systems Project on an emerging technology.
Views: 48 shotkoskir
JPMorgan CEO's bold economic prediction for 2019
UBS Senior Vice President of Investments Jim Lacamp on JPMorgan CEO Jamie Dimon's comments on the economy.
Views: 99121 Fox Business
The Future of Work: Hot Jobs & Industry Trends from the Federal Bureau of Labor Statistics
Learn about the U.S. Bureau of Labor Statistics (BLS) official employment projections for the coming decade to see where the hot jobs will be by industry, occupation, and type of degree. Economist Tim Consedine also covers what these jobs earn and other career resources available from BLS. This recorded webinar is part of the alumni career webinar series brought to you by the Hiatt Career Center at Brandeis University. Register for upcoming live webinars here: http://alumni.brandeis.edu/careers/events/index.html Learn more about alumni career services: http://alumni.brandeis.edu/careers Learn more about student career services: http://www.brandeis.edu/hiatt About the Presenter: Mr. Tim Consedine serves as the Regional Economist for the Federal Bureau of Labor Statistics (BLS) New England Information Office located in Boston, MA. He has served within the Economic Analysis and Information (EA&I) branch of the Bureau since June, 2002. Prior to joining the branch he served as an economist within the Division of Labor Force Statistics of the Bureau’s Headquarters located in Washington, DC. Mr. Consedine’s research concerns the changing patterns emerging within the U.S. labor market and analyses of the New England regional economy. He has published articles summarizing annual employment and unemployment data with particular focus on industry employment trends occurring within New England. Mr. Consedine’s recent research has focused on shifts in high-tech employment and wage trends in Massachusetts since the Dot-com bubble. Mr. Consedine serves a valuable resource to assist major media personnel and others who have questions on the Bureau’s varied published data products including those referencing employment, wages, and prices. He also holds two Master’s Degrees in Law and Public Policy and Applied Economics, both from Northeastern University.
Views: 194 Hiatt Career Center
True Leaf Medicine, Dixie Brands, AltaCorp Capital - Midas Letter RAW 157
Midas Letter RAW highlights the stocks and stories to watch in the Canadian markets today. Ben Smith and Ed Milewski provide comprehensive fundamental & technical analysis on all trending business and investment news, while interviewing the top CEOs of all public companies and analysts with the highest reputations in the business. 0:00 - Macroeconomics and Cannabis Analysis with Ben & Ed -some of the big names still holding onto significant gap numbers (Canopy and Aurora) -cannabis socks taking on a little water, nothing major -Heritage Cannabis (CANN) press release from Feb 5 really put stock into orbit (seeing minor decline, a little overbought) 5:10 - Midas Letter News OCS announces new agreements with 5 new LPs, 10 new accessory suppliers (Acreage, TGOD, Indiva, Pure Sunfarms, WMMC) -Aphria (TSE:APHA) announces new VP of Supply -FSD Pharma (CNSX:HUGE) denies causing any breaches of agreement -Weekend Unlimited (CNSX:POT) Canna Candy brand agreement with Infinity One LLC 7:03 - Macroeconomics and Cannabis Analysis with Ben & Ed -Amex Exploration (CVE:AMX) chart: gold, massive surge; resuming to the upside -junior resource complex starting to receive a bid, an accumulation? -junior resource space at 100 year lows; relatively cheaper 11:42 - True Leaf Medicine International Ltd (CNSX:MJ) (OTCMKTS:TRLFF) (FRA:TLA) is a pet wellness company producing hemp-based products. CEO Darcy Bomford explains that True Leaf’s brand, True Hemp, is in approximately 3000 stores globally. True Leaf is in the process of rebranding its product offerings and its educational messaging. 19:34 - Video - Cannabis Social Media Influencers with Adamo Barbieri 24:43 - Live Skype visit with James West in Mexico -markets: in conflict: FSD Pharma vs. Auxly, PMO office-SNC Lavelin, Jeff Bezos extortion -2019 CAN federal election: what impact on cannabis market? Will cannabis market be mature enough to handle it? -might impact oil and gas investment away from cannabis -thoughts on earnings next week: Cam Battley on the show on Friday, next week -think will be generally positive quarter for larger LPs; still shortages, but earnings picture only gets better from here for larger LPs 34:05 - Macroeconomics and Cannabis Analysis with Ben & Ed -PSA: Used wrong photo in news for Aphria - junior mining stocks in Canada catching a bid -GTX mining chart: up today despite day in market -gold's caught a bid -true breakout in gold weekly close above $1400 -sideways market 40:28 - Dixie Brands Inc (CNSX:DIXI.U) (FRA:0QV) designs and manufactures cannabis relief products. CEO Chuck Smith shares details of Dixie’s joint venture with Khiron Life Sciences Corp (CVE:KHRN) (OTCMKTS:KHRNF) (FRA:4KH). The agreement opens up the underdeveloped Central and South American cannabis space, a market of more than 600 million customers, to Dixie. 56:18 - Macroeconomics and Cannabis Analysis with Ben & Ed -Dixie-Khiron JV looks great -Dixie (CNSX:DIXI.U) chart: great trend, nice run on Khiron news, correction -earnings reporting next week, set tone -S&P chart: -Canopy Growth (TSE:WEED) chart -Cronos (NASDAQ) chart: exponential move, correction; how many big bars at the end of the move though -Khiron move on the Dixie news cycle; got an upgrade to $5 by Canaccord -Argo Gold (CNSX:ARQ) chart 1:11:17 - EDucation 1:11:57 - AltaCorp Capital Inc Research Analyst David M. Kideckel, PhD, MBA provides an update on AltaCorp’s operations and shares his thoughts on the emerging biosynthetic cannabinoid space. 1:21:53 - Macroeconomics and Cannabis Analysis with Ben & Ed -James E Wagner Corporation (JWCA) Next week: Sugarbud Craft Growers, Plus Products, Neptune Wellness, Liberty Health Sciences, Emerald Health Sciences, Supreme Cannabis, Hart Gold, 1:28:43 - Bloopers ************************ Check out our website: https://midasletter.com ************************ SUBSCRIBE to our YouTube: http://bit.ly/MidasLetterYoutube SUBSCRIBE to our 2nd YouTube Channel - Midas Letter Clips: https://bit.ly/2rtQzgy SUBSCRIBE to our Newsletter: http://bit.ly/MidasLetterNewsletter Download Our Podcast on iTunes: http://bit.ly/MidasLetterPodcast ************************ Follow Us on Twitter: http://bit.ly/MidasLetterTwitter Like Us on Instagram: http://bit.ly/MidasLetterInsta Like Us on Facebook: http://bit.ly/MidasLetterFacebook ************************ #WeedStocks #MidasLetter
Views: 2205 Midas Letter RAW
How to Use Social Data to Make Smarter Media Decisions
Marketers inspired by the movie Moneyball are looking for ways to leverage trends, mitigate risk, and drive marketing programs that perform. As the cost of mass marketing techniques focused on reach continues to grow, finding an advantage when evaluating your media spend is more important than ever. On Thursday, April 5, 2012, Elizabeth Shaw, Social & Emerging Media Analyst at Forrester Research, and Paul Dunay, Chief Marketing Officer at Networked Insights, hosted a live online presentation on the growing role of social data as a source of consumer information and how brands are leveraging it to make smarter media decisions. For many brands, finding the right balance between paid, owned, and earned media is difficult. Savvy marketers have discovered how to blend in social data to guide these major advertising investments and align their choices with their target consumers' digital behavior. Attending this live event will help you better understand how marketers can identify and track emerging consumer trends through real-time data, and, by staying in-sync with your audiences, how you can make the right media choices based on data instead of agency recommendations or gut feelings. If you can no longer afford wasteful media choices (and let's face it, who can?), we encourage you to watch the on-demand webinar for How to Use Social Data to Make Smarter Media Decisions. Discover how you can ensure your broadcast and digital advertising decisions are aligned with your audience for the minimal effective investment.
Views: 313 NetworkedInsights
Alison Sander: Megatrends - the art and science of trend tracking
What’s next? It’s the question we never stop asking, with new answers emerging every day from trends and data that offer tantalizing clues for the discriminating observer. For example: pets now outnumber children in the USA, Europe, and Japan. What product lines may emerge from this shift? Doggy Prozac? Megatrend expert Alison Sander explains how you can spot growing trends and gives five tips on how you can use trends to your advantage. Alison, through her role in BCG’s Center for Sensing & Mining the Future, tracks more than 100 Megatrends to help clients find their next areas of growth. She earned an MBA from Harvard Business School, a JD from Harvard Law School, and a BA in political science with high honors from the University of Chicago. Alison is a member of The Council on Foreign Relations (www.cfr.og), a Board member of the World Resources Institute (www.wri.org), an Overseer of the Museum of Science (www.mos.org), and a founder of AltWheels (www.altwheels. org). Alison has been with the Boston office of BCG since 1997, originally serving as Globalization Topic Advisor. Alison has worked in or travelled to more than 91 countries. About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select brands to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk development to sharpen and fine tune ideas. Learn more at http://www.ted.com/ted-institute Follow TED Institute on Twitter @TEDPartners Follow more business thinking worth sharing from TED at roi.ted.com
Views: 19352 TED Institute
Tech Trends 2017: The Kinetic Enterprise
Machine intelligence has the potential to help reinvent the CIO role, shifting focus from implementing and upgrading systems to using automation and cognitive technologies to enable new data-mining techniques. This realignment could allow organizations to uncover insights hidden from humans and help better guide business decision-makers.
More data management by the buy-side
Marion Leslie, Managing Director, Enterprise, Thomson Reuters, talks about the current buy-side trends from an enterprise data perspective, how customers describe their needs given these market trends, and what customers can do to adapt and evolve in order to drive future success. For all your fintech-related news, please visit https://www.finextra.com.
Views: 34 Finextra Research
CITP Luncheon Speaker Series:  Elana Zeide - Ethical Use of Big Data in Education
Education is increasingly big data-driven. Digitally-mediated education tools, social media data mining, and the Internet of Things generates a wealth of data about students’ actions both within and outside classrooms. Personalized learning platforms use detailed, real-time learner information to adjust instruction, assessment, and guidance automatically through adaptive structures and artificial intelligence. These algorithmic profiles can also serve as credentials in the place of traditional resumes and transcripts, and, in doing so, provide more access to better quality, lower-cost education and socioeconomic opportunity. This presentation examines the rise, promise, and perils of big data-driven education. New technologies and infrastructures may have unintended consequences that undermine the very goals reformers seek to achieve. As part of an emerging “scored society,” reliance on what I call “algorithmic credentials” also has important implications for society, the economy, and democracy. Bio: Elana Zeide is an associate research scholar at CITP, a visiting fellow at Yale Univeristy’s Information Society Project, an affiliate of New York University’s Information Law Institute and the Data & Society Research Institute, and an advisory board member of the Future of Privacy Forum. She works as attorney, scholar, and consultant focusing on student privacy, predictive analytics, and the proverbial permanent record in the age of big data. She examines the law, policies, and cultural norms emerging as education, and the rest of society, becomes increasingly data-driven. Zeide advises parents, educators, companies, and policymakers on student information practices in traditional schools, virtual learning environments, and the commercial sphere. She also writes for both popular and academic publications, recently including a discussion of algorithmic profiling on Slate, an article examining student privacy regulation in the Drexel Law Review, and a chapter on legal requirement and best practices in the forthcoming Handbook of Learning Analytics & Educational Data Mining. Zeide graduated from Yale University and New York University’s School of Law. She subsequently worked as a litigation associate at Cravath, Swaine & Moore LLC, a legal analyst at Bloomberg L.P., and a visiting professor at Yale University, where she taught courses on Free Speech and the First Amendment before opening her own privacy and technology law practice. Prior to becoming an attorney, Zeide was a journalist and pop culture columnist in London and New York, and earned a Master of Fine Arts in Nonfiction Writing from Columbia University’s School of the Arts. She believes she is the only person to have both reported for and legally represented The National Enquirer.
Views: 898 CITP Princeton
4 Steps to Becoming an HR Analytics Champion
Join us on Tuesday, January 29th 10AM PST / 1PM EST to learn more about the latest trends impacting data in HR and get actionable tips to help you and your team: · Understand what’s driving the rise of analytics in HR · Learn how early adopters are leveraging data & insights · Discover how to build a data-driven culture · See how you can apply analytics to answer your critical talent questions Get all of your questions answered during our live Q&A and walk away from this webcast with clear steps on how to create more data-driven talent strategies.
Gold Demand Trends, explained
This video explains how we create Gold Demand Trends, the leading industry resource for gold demand data. We explain how our unique position in the gold industry gives us unparalleled market insight and how we work to understand evolving consumer behaviours, identify emerging trends, and apply our knowledge and experience to provide a complete view of the gold market.
Views: 585 World Gold Council
Webinar: The Algorithm Economy‎ Job Trends in Data Science
According to IBM, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000 with an average salary range of $105,000 - $117,000. For current professionals as well as those considering entering or transitioning into a data science career, this webinar will provide highlights of various recent research studies – from IBM, PWC, and Indeed.com – on hiring trends, hot job markets, top skill sets, industry predictions, and career tips in this growing field. Beginning with a quick overview of the macro-economic trends driving the demand for tech talent, the presentation will describe the next wave of the digital revolution – the model-driven business, powered by machine learning, deep learning, and AI – which is projected to drive even greater employer demand for data scientists. This webinar is brought to you by the MS in Data Science online degree at the CUNY School of Professional Studies. OUR PRESENTER: Arthur O'Connor Academic Director, Data Science and Information Systems
Management Information System  -  What are the emerging trends of MIS
Need Answer Sheet of this Question paper Contact us at [email protected] M: 7019944355 Management Information System (Part -1) 1. Explain the three basic elements of ‘MIS’ . 2. Explain the role of MIS in an Organization, Planning & decision making. 3. Describe the basic composition of MIS that can be explained in terms of different approaches. 4. Explain the main features of a management information system in an organizational setup with various functions, importance, and relationship with planning, control and operations, indicating clearly what MIS is . 5. To upkeep the needs of management at various levels in a future data processing environment, there is an urgent need for a new directions systems, frequently referred to as DSS. Explain. 6. Explain the important aspects of Data Management . Management Information System (Part -2) 1. Explain MIS approach to Industry production system. 2. Discuss planning and implementing of MIS for production. 3. Describe MIS applications in service industry . 4. Explain the future thrusts and methodologies of Management Information Systems. 5. The process of developing both management information system and programming systems have projected many pitfalls. What are they. Explain the pitfalls. 6. Explain the application of MIS in business. Management information System 1. Examine the future thrusts and methodologies of Management Information Systems. 2. Explain the role of Management Information System in Marketing Information System. 3. What are the emerging trends of MIS in fulfilling the objectives by scientific approach along with decision making and institutional experience with subjective knowledge? 4. What role has Computer and Data Management played in Management Information System? 5. Implementation of MIS in organization has transformed the organization to gear up to the challenges of production and decision making. Explain. 6. What is the role of MIS in an organization planning and decision making? Explain. Management Information System 1. Explain the role of MIS in organization, its planning and decision making. 2. Explain the factors influencing successful use of MIS in an organization. 3. Discuss the factors contributing success and failure of MIS. 4. Write a descriptive account on Relational Database Management System. 5. Describe the essential characteristics of Decision Support System. 6. Explain the major problems in an Enterprise Resource Planning system Implementation Need Answer Sheet of this Question paper Contact us at [email protected] M: 7019944355
Views: 220 Answer Sheet
Predictive & Analytics Product Keynote Featuring Diesel: Connections 2014
Customers are providing you with vast amounts of data through your website and ecommerce platform every day. Marketers need to be able to gather and analyze that data, then respond to each customer individually. As presented at Connections 2014, learn how the ExactTarget Marketing Cloud collects this data, and makes it actionable—helping you optimize your marketing efforts. Hear from Diesel about how they're making their customer data actionable. Join us as we share our vision, strategy and exciting new innovations in web and analytics. Learn how HSN leverages Journey Builder to create amazing 1:1 customer experiences. In this session Salesforce Marketing Cloud will share the vision, strategy, and roadmap for Journey Builder, as presented at Connections 2014. Dedicated to inspiring, enabling, and educating marketers around the globe, Connections showcases the latest technology and innovation, highlights groundbreaking customer stories, and puts you at the front lines of emerging trends and best practices. http://marketingcloud.com - The customer revolution has begun—and it’s never been more important to develop real relationships with your customers. Salesforce Marketing Cloud is the world’s most powerful 1:1 digital marketing platform, helping you make the most of every customer interaction. Are you ready to create personalized, cross-channel customer journeys that deliver exceptional brand experiences? The future of digital marketing is here. See why Salesforce Marketing Cloud is excited to be leading the way. Build and manage your customer journeys with Salesforce Marketing Cloud: Email: http://www.exacttarget.com/products/email-marketing Mobile: http://www.exacttarget.com/products/mobile-marketing Social: http://www.exacttarget.com/products/social-media-marketing Ads: http://www.exacttarget.com/products/ads Web: http://www.exacttarget.com/products/web-personalization Journey Management: http://www.exacttarget.com/products/journey-management Predictive Intelligence: http://www.exacttarget.com/products/predictive-intelligence Content & Messaging: http://www.exacttarget.com/products/content-messaging Customer Data Platform: http://www.exacttarget.com/products/customer-data-platform Hub Exchange: https://hubexchange.exacttarget.com/ Want to stay up-to-date on digital marketing? The Salesforce Marketing Cloud blog publishes everything you need to stay ahead of the curve, including best practices, tips, trends, and recent research: http://exacttarget.com/blog Learn more about Salesforce Marketing Cloud: http://marketingcloud.com For more information about Salesforce: http://salesforce.com
Views: 3938 ExactTarget
Using data mining to identify $2.2 billion in shadow banking revenues
Which companies represent the best prospects for aspiring shadow bankers in emerging markets? In this video, we describe some indicators we use -- and the way they help target prospects. For more, see: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2429583
Uncover Hidden Insights from Unstructured Data for Better Business Decisions
With the exponential growth of social media and new touchpoints, customers are interacting with brands and organizations at a much faster pace, generating volumes of unstructured data in the form of customer reviews, feedback, preferences, trends, etc. Other metadata such as demographic data, transaction data or point of sale data, when combined with unstructured data can help organizations better understand consumer behavior and market forces, at a much more granular and deeper level. This enables brands to make effective business decisions for profitable growth. In this webinar, attendees learned how unstructured data analytics adds value, reduces time and costs in the identification of key business problems, and helps organizations track the health of their brand image by monitoring emerging trends and identifying aspects of the business responsible for a particular customer sentiment. The webinar also covered and introduced our Unstructured Text Analytics Platform ("UTAP") which allows the automation of classification of unstructured text data to categories, enabling organizations to track customer categories/issues over a stipulated period of time, with faster and more efficient analysis of unstructured text data.
Views: 341 Course5i
Global Big Data and Analytics Market in Telecom Industry 2014 2018
Get Full Details On: http://www.researchbeam.com/global-big-data-and-analytics-in-telecom-industry-2014-2018-market Global Big Data and Analytics Market in Telecom Industry Technology, Applications, Opportunity, Insights, Analysis Report 2014-2018 Report Overview Research Beam adds a report titled “Global Big Data and Analytics Market in Telecom Industry 2014-2018” that provides latest market trends and opportunities. The report offers detailed analysis of the Global Big Data and Analytics Market. Big data is a huge volume of data that can be structured and unstructured and cannot be directly stored into a database without processing. Big data analytics refers to IT offerings that use various data mining techniques such as predictive modeling and text mining and helps telecom service providers to derive real-time actionable insights and aid in business decision making. Telecom companies are a host to huge volumes of data about customers and their usage details, which is stored in their databases. With big data analytics, these data can be stored, mined, and analyzed to not only meet the objective of improved bottom line, but also help telecom service providers to enhance customer experience, intelligent network planning, and reduce customer churn. Thus, it helps in innovating the business models and maximizing the profit for telecom service providers. As per the analysts forecast the Global Big Data Analytics market in the Telecom industry to grow at a CAGR of 28.28 percent over the period 2013-2018. Covered in this Report This report covers the present scenario and the growth prospects of the Global Big Data Analytics market in the Telecom industry for the period 2014-2018. To calculate the market size, the report considers the revenue generated from the sales of the products and solutions in the Global Big Data Analytics market in the Telecom industry.
Views: 253 Todd H. Seriena
Coin Market Cap Crashes Crypto Market - Removes Korean Exchange Data from Averages
http://www.ThinkingCrypto.com Coin Market Cap partially crashed the cryptocurrency market today by removing Korean Exchange data from crypto price and market cap averages which sent the market into a panic and caused a sell off. Sign up with Coinbase for Free to start investing in Bitcoin and get $10 free Bitcoin when you spend $100! - https://www.coinbase.com/join/59db057bed984302ff3b1275 Get the Ledger Nano S to Safely store your Cryptocurrency! : -Buy directly from Ledger - https://www.ledgerwallet.com/r/acd6 -Buy on Amazon - http://amzn.to/2zYgdAv Mine Bitcoin and other Cryptocurrencies Daily with HashFlare! Free to sign up! - https://hashflare.io/r/373CC8F3 Mine Bitcoin and other Cryptocurrencies with Genesis Mining. Use code "he76Rc" and get 3% off every purchase - https://www.genesis-mining.com/a/2126471 Help support the channel! Donations : BTC - 3GPcKwB3UGML4UiYqZM6BYx7Nu5Dj7GKDD ETH - 0x7929e49cabe8d95d31392eaf974f378b508da2f4 LTC - MWMhsyGX7tsTPGS2EtSCAWpy3ywCv25r6B XRP - rDsbeomae4FXwgQTJp9Rs64Qg9vDiTCdBv Destination Tag - 35594196 Follow on Facebook - https://www.facebook.com/thinkingcrypto/ Follow on Twitter - https://twitter.com/ThinkingCrypto1 Disclaimer - Thinking Crypto and Tony Edward are not financial or investment experts. You should do your own research on each cryptocurrency and make your own conclusions and decisions for investment. Invest at your own risk, only invest what you are willing to lose. This channel and its videos are just for educational purposes and NOT investment or financial advice.
Views: 5041 Thinking Crypto
Specialist Grade B DR Recruitment by RBI| Specialized Recruitment - RBI 2018
In this video, I have given complete detail about the vacancy. Educational Qualification for Specialist Officer Last to fill the application for Specialist Officer Syllabus for Finance, Data Analytic, Forensic Audit, Risk Modeling and HRM in RBI Grade B Specialist Officer. Link of Advertisement: https://rbidocs.rbi.org.in/rdocs/Content/PDFs/SGBFDA170818049F05528C9B498DB026B72D037286D1.PDF Link of Syllabus and Selection Process: https://rbidocs.rbi.org.in/rdocs/content/pdfs/SGDAAPP170818_2.pdf Online Application Form Link for Grade B Specialist Officer RBI http://ibps.sifyitest.com/rbisgrbaug18/ Syllabus Finance: Paper-I - Objective tests on the following topics (finance specific) a. Questions on RBI’s guidelines/circulars b. Questions on Basel Norms and Risk Management principles on credit risk, market risk (including Treasury Risk Management, Liquidity Management and Balance Sheet Management), operational risk and Stress Testing c. Questions on financial accounting Paper-III - Subjective Assessment a. Analysing a credit proposal and giving comments on whether to sanction it or not b. Analysing sanctioned proposal and account statements and arriving at correct account classification c. Analysing the business strategy, ICAAP documents and arriving at risk perception of the bank. d. Analysis of an investment proposal and giving comments on whether to invest in the product or not or choose between investing in two products Data Analytic Basics of Statistics, Probability, Distributions, Hypothesis Testing and Confidence Intervals, Correlations and Copulas, Linear Regression, Modelling Cycles: MA, AR, and ARMA Models; EWMA & GARCH models; Business Data Mining; Spreadsheet Modelling; Basic modelling in SAS Risk Modeling Basics of Statistics, Probability, Distributions, Hypothesis Testing and Confidence Intervals, Correlations and Copulas, Linear Regression, Measures of Financial Risk; Stress Testing; Volatility and Distribution; Key Concepts of Credit, Market, Liquidity & Operational Risk; Default Risk Quantitative Methodologies; Basel Accords; Spreadsheet Modelling, Banking products and processes, Risk Management including credit risk, market risk, and operational risk, Stress Testing, BCBS Publications, IFRS and IND-AS, Differentiated bank regulations (Small Finance Banks etc.), RBI major circulars, Basel III capital regulations with the perspective of Indian regulatory environment. Forensic Audit Fundamentals of Forensic Accounting; Frauds related concepts; Red Flags- Concepts and Techniques; Indian & International Laws related to Forensic Audit; IT Act vis-à-vis Business Laws. Human Resource Management Human Resource Management (HRM): Functions & Scope of HRM; Components of HRM; Role of HR Executives; International HRM - Management Process and Organizational Behaviour - Leadership and Decision Making - Interpersonal and Group Processes - Organisational Dynamics - Human Resource Development (HRD): Need for HRD; Strategies & Systems; Career Planning & Growth; Competency Mapping; Performance & Potential Appraisal; Coaching & Mentoring; Training & Development; Compensation & Reward System; Incentives; Motivation; Morale - Human Resource Planning: Process and Functions of Human Resource Planning; HR Forecasting Techniques; Job Analysis and Design.. Job Evaluation; Recruitment & Selection; Employee Induction, Orientation & Socialization; Succession Planning; Promotion, Transfer and Separation - Organisational Change - Industrial Relations (lR): Concept & Scope of IR; Approaches to IR; Trade Unions & Associations; Collective Bargaining; Employee Participation; Employee Welfare; Grievance Handling; Dispute Resolution; Discipline; Laws on Industrial Relations, Working Conditions, Wages & Social Security - Emerging Trends in HRM. The above syllabus is only indicative and not exhaustive.
Master of Science in Digital Marketing & CRM, presentation and advantages of the program
The focus of the Master of Science in Digital Marketing & CRM is to acquire the theoretical and practical knowledge of digital marketing and be able to analyze and exploit customer databases effectively. More information on: http://www.ieseg.fr/en/programs/msc-d... Follow us on: Facebook: https://www.facebook.com/IESEG-School... Twitter: https://twitter.com/IESEG The emergence of the Internet has completely changed marketing practices and consumers are always connected. All marketing managers have to face these challenges by building cross channels strategies and integrating online communication. The Master of Science in Digital Marketing & CRM is a one year program completely taught in English which provides a unique opportunity to strengthen both your knowledge of Digital Marketing and CRM. The main objective of the program is to prepare future managers to work in these two rapidly emerging and complementary marketing fields that represent new ways of conducting marketing and improving relationships with clients. At the end of the program, students should be able to understand the global e-commerce environment and master the skills needed to formulate a successful digital strategy. The focus is on acquiring the theoretical and practical knowledge. This is the foundation for the development of professionals who can improve their effective digital marketing strategy by capitalizing on customer’s data. Students will also gain an understanding of the importance of managing customer relationships in a day-to-day business environment. The combination of digital marketing and CRM is really unique and involves academic and professionals. The program is divided in 3 parts: 1. Marketing and management courses to provide a global picture of what it is important for international managers 2. Wide range of courses on digital marketing to understand the stregnths of the new types of communication and optimize their ability to combine them to build a strong integrated strategy (courses in Digital marketing strategy, Search Engine Marketing, Social Media Marleketing, online consumer behaviour) 3. Customer relationship management: key strategic tool for companies to increase their performance (courses in relationship management, customer satisfaction and loyalty programs, customer service and complain management, data mining, customized intelligence...) Students can get an operationnal experience as they should do a 4 to 6 months internship or Consulting Project anywhere in the world. Career opportunities: digital marketing managers, webmarketing managers, community managers, traffic managers... We preferably look for students with a background in marketing or management. The field of digital marketing and CRM is really the future and that's what makes this program attractive. If you are interested in becoming an expert in digital marketing, don't hesitate to contact us at [email protected] ! Information about our other Masters of Science here: http://www.ieseg.fr/en/programs/masters-science/
Big Data in Extraction and Natural Resource Industries: Mining, Water, Timber, Oil and Gas 2014 - 19
Market Research Reports, Inc. has announced the addition of "Big Data in Extraction and Natural Resource Industries: Mining, Water, Timber, Oil and Gas 2014 - 2019" research report to their offering. See more at- http://mrr.cm/ZsY
Virtusa talks Data Warehousing and ECM - Emerging Trends, Opportunities, and Best Practices
In this podcast, IBM DeveloperWorks' Scott Laningham talks with Virtusa's Srinivas Kandikonda and Ajoy Kumar, about their experience with data warehousing and ECM solutions. Some of the key questions addressed in this podcast are: - How does data warehousing and ECM interplay with one another? - How businesses can reduce cost for managing their increasing vast content and what are the various steps that organizations are taking? - What are the technical trends in the current data integration platforms; how does it impact IBM DataStage upgrade and migration? - How Virtusa addressed the DataStage implementation challenges for its clients and more specifically with implementing new IBM DataStage functionalities? And more...
Views: 811 Virtusa
Interview with Anthony Breitzman (Rowan University, United States)
My research broadly falls into Data Mining, Text Mining, Mathematical Modeling, Algorithm development. Most of my studies can be described as Science and Technology Policy findings that have been informed by mining large data sets. My current research is focusing on using Text Mining techniques on social media (e.g. Twitter) to further inform these studies. Anthony Breitzman Sr. is an Assistant Professor of Computer science and Data Analytics at Rowan University as well as a co-founding partner of 1790 Analytics. He has consulted extensively with Fortune 500 companies, helping them to develop and manage their intellectual property portfolios more effectively. He has also worked for many different government agencies, helping them assess a wide variety of science and technology policy issues. Anthony is recognized worldwide as a data mining expert and respected thought leader in IP analytics. He has published numerous scholarly articles on mathematics, text mining, intellectual property management, technology assessment and research evaluation. He is invited to speak at conferences worldwide, and is also the inventor of a ground-breaking patent linking patent portfolio strength and stock market performance. Prior to co-founding 1790 Analytics, he was Chief Technology Officer at CHI Research. He holds a B.S. in Mathematics from Richard Stockton University; an M.A. in Mathematics from Temple University; and an M.S. and Ph.D. in Computer Science from Drexel University. This video was recorded at FTC 2017 - http://saiconference.com/FTC Upcoming Conference: https://saiconference.com/FTC Abstract: The amount of information available on new tech-nologies has risen sharply in recent years. In turn, this has increased interest in automated tools to mine this information for useful insights into technology trends, with a particular focus on locating emerging, breakthrough technologies. This paper first outlines an automated framework for technology forecasting developed for the Department of Defense. It then proposes various enhancements to this framework, focusing in particular on utilizing social media data more effectively. Specific topics covered include technology forecasting via Twitter trusted sources and via identification of authoritative Twitter handles. Beyond improving the framework itself, the techniques described in this paper may also be of general interest to researchers using social media data, particularly for technology forecasting.
Views: 95 SAIConference
The best stats you've ever seen | Hans Rosling
http://www.ted.com With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to present data that debunks several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.) TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Follow us on Twitter http://www.twitter.com/tednews Checkout our Facebook page for TED exclusives https://www.facebook.com/TED
Views: 2916460 TED