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  1. Ransomware is Becoming the Most Prevalent Malware Attack - Don’t Become the Next Victim
  2. Building a Roadmap for Enterprise Data and Analytics – A Framework
  3. The Post-Pandemic Supply Chain: How to Build Resiliency Into our Decisioning
  4. Flying Blind in Retail
  5. Teradata's Sleep Prediction Hackathon
  6. The Post-Pandemic Supply Chain: Time to Go Back to Basics?
  7. How to Get More ROI—Faster—From Machine Learning
  8. COVID-19 Pandemic Analytics for a Safe Return-To-Office
  9. Tired of First Dates? How to Build a Long-Term Relationship with Data
  10. Open Finance and Smart Ecosystems Won’t Wait for Banks
  11. Is Your Data Ready for Climate Risk Scrutiny?
  12. Managing Supply Chains in the Fast Lane
  13. What Concept Are You Trying to Prove?
  14. Look Out for Risks in Open Banking!
  15. The Cloud is Just the Beginning, Not the End, of the Journey
  16. The Automation of Personalisation
  17. Three Guiding Principles for Open Banking Platform Design
  18. Connecting R&D to the Digital Thread
  19. Financial Crimes: Three Things You Need to Catch a Clever Criminal
  20. Billions of Personal Interactions
  21. It Just Got a Lot Easier to Offload Data From Vantage to Cloud Storage
  22. Off-shore, On-shore or Not Sure? How Data Can Help Solve the Shared Services Conundrum
  23. Will Open Banking Enhance the Quality of Daily Life?
  24. We Rise as One in our Mission to Eradicate Racism
  25. Why CEOs Must Lead a New Relationship with Data
  26. Listen Carefully
  27. Thirteen Thoughts About the Data Mesh
  28. Data...What? Why You Should Keep Doing Data Integration
  29. Beyond Resilience-The Next Generation of Supply Chain
  30. Open Banking is Transforming Financial Services and Chipping Away the Relevance of Traditional Banks
  31. What Isaac Newton Did in Lockdown – And What it Tells Us About Data Science
  32. The Race to Transform
  33. Making Customer Experience Your Competitive Advantage
  34. CFO Analytics – Machine Learning
  35. Hyper-Personalization: Understanding Customers Using Digital Payments Data
  36. The Worst of Times - The Best of Times
  37. Connect Teradata Vantage to Salesforce Using Amazon Appflow
  38. CFO Analytics - CFO of the Future
  39. Data Mesh and the Threads that Hold it Together
  40. How Smart is Your Smart Factory?
  41. Meet the New Analytics Superhero - The CFO
  42. Data...What? Data Democratization and the Illusion of Self-Service
  43. CFO Analytics – Driving Value Through Analytics Automation
  44. We Stand as One with Asian American and Pacific Islander Communities
  45. How to Host a Virtual Global Data Science Hackathon
  46. Don’t Just Collect Vehicle Data – Monetize It!
  47. Ending Supply Chain Whack-a-Mole Management
  48. CFO Analytics – Build Your Foundation
  49. Streaming Data Into Teradata Vantage Using AWS Glue Streaming ETL
  50. Texas Health Resources
  51. Is There a Better Way to Drive Faster Business Value Without Creating More Technical Debt?
  52. Enterprise Data Operating Systems in the Cloud: Necessary, But Not Sufficient
  53. All That Glitters is Not Gold!
  54. Banco Bradesco
  55. The Future: Seamless Journey to Invisible Payments
  56. Enhancing Customer Experience with Every Journey
  57. CFO Analytics: What Is It and Why Should You Care?
  58. Is the Centralized Data Warehouse Dead?
  59. Drive Superior Customer Experience in Retail with Data
  60. Teradata Has Been Named One of the World's Most Ethical Companies 2021
  61. Data Governance in the Cloud Era – Accelerating, Not Hindering, Data Democratization
  62. Machine Learning Adapts to Rapidly Evolving Risk in Real-Time
  63. Is Your Data Holding You Back Instead of Driving You Forward?
  64. From Product Cycle to Digital Thread
  65. How I Built an Algorithm to Help Doctors Fight COVID-19
  66. Vantage Trial Delights Cloud Data Analytic Users
  67. Digital Payments Analytics Rapidly Respond to Changing Preferences and Emerging Value Propositions
  68. Six Crucial Refinements to Conventional Wisdom About Data Strategy
  69. Modeling the Risk of COVID-19 for Effective Pandemic Response
  70. Big Data in Retail & CPG Requires a Scalpel, Not an Axe
  71. What is the Business Case for Delivering a Good Customer Experience at Your Bank?
  72. How Does UX Design Help in Visualizing Big Data?
  73. Digital Payments Data Drives Increased Usage and Customer Retention
  74. The Missing Link in Cloud Costs
  75. Moving to the Cloud, Do I Still Need a CASB Solution?
  76. How to Make Regulatory Calls for Transparency a Competitive Advantage
  77. Drowning in Data - Regulators Need a Data Strategy Too!
  78. Improving Population Health Through Citizen 360
  79. Digital Payments: An Explosion of Emerging Opportunities
  80. A Few Things to Know When You’re Moving to the Cloud
  81. The High Stakes of Complex Medical Claims
  82. A Day in the Life of a Customer Success Manager
  83. Regulation as a Service: A Win-Win
  84. Vantage Social Network Analysis Framework for Covid-19 Risk Metrics
  85. Avoid Making the Same Mistake Twice
  86. Top Tech Predictions for 2021
  87. Path to Profitability with More Agile Pricing
  88. Data...What? What Can I Buy in a Data Marketplace?
  89. Looking Forwards Not Backwards: New Ways of Working for the CFO
  90. Medibank
  91. The Economic Value of Supply Chain Investments
  92. How Much Security Is Too Much Security?
  93. Data and Strategic Alignment in the Bank of the Future
  94. How to Tackle Data Skew
  95. Intertoys
  96. Teradata at AWS re:Invent
  97. Risk-Based Wealth Management: What the Insurance Industry Gets Wrong
  98. How to Thrive Amid Disruption
  99. Telecom Operators: The Data Goldmine
  100. Is Skepticism Thwarting Your Grandiose AI Plans?
  101. Brinker International, Inc.
  102. What Banks Can Learn From Disney
  103. Getting Started with Native Object Store and Microsoft Azure Object Storage in 5 Easy Steps
  104. How Tesla is Redefining the Auto Industry
  105. How to Make the Most of Big Data Analytics in Your Business
  106. Boost Your Customer Experience with Better Payment Conversions
  107. Connect Teradata Vantage to Salesforce Data With Azure Data Factory
  108. What Happened to the CEO in Waiting?
  109. Reimagining Business Amidst the COVID-19 Pandemic
  110. Reconnecting the Retail Brain: Learning From the Octopus
  111. Look at the Cloud. What Do You See?
  112. Survey: Enterprise Data More Important Than Ever Since Onset of COVID-19
  113. Modern Architecture and Analytics Need Each Other To Succeed
  114. Demystifying the Business Continuity Space: Part 2
  115. Exit Here? The Big Banks' Battle for Survival
  116. Why the Single Source of Truth Paradigm in Data Warehousing is Outdated
  117. Data: The Crumbling Foundation of Finance, Our Once Trusted Advisor
  118. How to Prioritize "Self" in Today's World: A Summary on Mental Health
  119. DHL Express
  120. Watch Out for Gotchas in Cloud Data Warehouse Pricing
  121. Zero Down – and Pay Only for What You Use with Teradata Consumption Pricing
  122. Accelerating Innovation in the Analytic Ecosystem: Accessibility
  123. Retailers - Don't be a Data Zombie!
  124. Announcing Vantage on Google Cloud
  125. Three Insights Into Delivering Value at Scale From Smart Factory Investments
  126. Demystifying the Business Continuity Space: A Two Part Series
  127. Break Out of the Data Silo!
  128. Accelerate Your Path to a Modern Analytics Architecture
  129. Customer Journey Analytics & Real-Time Marketing: Lessons Learned from Those That Got it Right
  130. Five Steps Towards Delivering Better Analytic Outcomes
  131. Today’s ‘Breakfast Roll People’ Will Change How Energy Retail Operates
  132. Celebrating Hispanic Heritage Month
  133. Clean Up Your Enterprise Data Mess the Easy Way: Ignore it
  134. Leveraging Teradata Vantage's Superior Performance for Real-Time Analytics
  135. The Game Has Changed for Retail – or Has it?
  136. To Integrate or Not to Integrate Data? That is the Question.
  137. Teradata: An Enduring Legacy
  138. The Cause and Effect of Supply Chain Fragility, and How to Fix It
  139. How Teradata Vantage with Native Object Store Decreases Costs, Increases Business Value
  140. The Power of Data and Analytic Processing Gravity
  141. Back to school – CEOs need to learn a new language, fast!
  142. Teradata Dynamic Resource Optimization – Both On-Premises and in the Cloud
  143. Larry H Miller Sports & Entertainment
  144. Accelerating Innovation in the Analytic Ecosystem: Simplicity
  145. Will a Few Milliseconds Ruin Your Analytics Performance in the Cloud?
  146. Digitalizing Energy: A Cure-All Salve or Expensive Placebo?
  147. Use of Modeling and Simulation for Understanding COVID-19 Dynamics
  148. So You Think You’ve Got a Data Strategy?
  149. Change for Good: The Energy Transition
  150. Customer Experience During the “New Normal”
  151. Using Data Before, During, and After Natural Disasters
  152. Answers in the Cloud, No Matter Where Your Data Is
  153. Teradata Vantage: Born for Cloud Before Cloud Was Born
  154. Accelerating Innovation in the Analytic Ecosystem: Flexibility
  155. Chief Data Analytics Officers – The Key to Data-Driven Success?
  156. Why Object Storage Is Essential for Analytics
  157. Architecting for Today’s Hybrid Analytic Ecosystem
  158. Move Fast – But Don’t Break Things
  159. Streaming Data Into Teradata Vantage Using Amazon Managed Kafka (MSK) Data Streams and AWS Glue Streaming ETL
  160. Why Teradata Has Never Been Afraid of High Demand
  161. Advancing the Telecom Industry through Network Experience Analytics
  162. I’ve got the latest tech – now I’m a data business, right?
  163. Move Up the (Data) Property-Ladder
  164. Why You Need to Treat Models Like Data
  165. Doing Good With Data: Teradata's COVID-19 Resiliency Dashboard
  166. Streaming Data Into Teradata Vantage using Amazon Kinesis Data Streams (KDS) and AWS Glue Streaming ETL
  167. Forecasting COVID-19 Using Teradata Vantage
  168. The Importance of Data in UX Design
  169. Data...What? Whatever You Call It, Stay Away From a Data Mess!
  170. Return on Data – The New Valuation for Future Retail
  171. That Lockdown Feeling
  172. Teradata Vantage for People Analytics
  173. Getting Started with Native Object Store
  174. Royal Bank of Canada
  175. What Sort of Business Do You Want to Be?
  176. Teradata Taking Home All the Gold
  177. Announcing Vantage Trial
  178. Identifying the Infodemic Amidst the COVID-19 Pandemic
  179. Data is the Prize and the Strategy
  180. How to Leverage Advanced Analytics in the Healthcare Domain
  181. Big Tech is Poised to Pounce on Banking
  182. Modernization Means Simplicity and Sophistication
  183. Microsoft Azure First-Party Service Integration with Teradata Vantage
  184. There Are No Perfect Words…
  185. Lloyds Banking Group
  186. AWS First-Party Service Integration with Teradata Vantage
  187. Intelligent Analytics for Telcos Using Teradata Vantage
  188. Teradata’s Differentiators – And Why They Matter
  189. The Lure and the Fallacy of the New Bright Shiny Object
  190. Rising from the Ashes
  191. Today, I Join Teradata
  192. Using Data to Fight COVID-19 Supply Chain Disruption
  193. Legacy or Modern? Why not Both!
  194. Pricing Models for Analytics
  195. Using Advanced Analytics to Predict the Onset of a Cytokine Storm
  196. Connect Teradata Vantage with AWS Glue
  197. How to Balance Efficiency and Risk in Your Supply Chain
  198. How to Operationalize Enterprise Analytics in the Telco Industry
  199. How Companies Can Capitalize on Being Sustainable
  200. Navigating the Automotive Supply Chain Post-COVID-19
  201. The COVID-19 Pandemic and the Perfect Storm of Disruption
  202. Emulate Your Heroes with Data… and Vantage on AWS
  203. How China is Using Advanced Analytics During the COVID-19 Pandemic
  204. Introducing Teradata’s Incoming CEO Steve McMillan
  205. COVID-19: Risk Analytics for Building an Early Warning System
  206. What Is the Biggest Challenge Facing CMOs Today? Building, Measuring and Maintaining Brand Equity
  207. Automotive Industry: Navigating Post-COVID-19
  208. All Models Are Wrong (But Some Are Useful)
  209. How to Be Most Productive When Working from Home
  210. Teradata: Lowest Cost for Enterprise-Scale Analytics
  211. It’s Your Data, Set it Free…
  212. COVID-19: Supply Chain and The Great Disruption
  213. Fighting Coronavirus with Teradata Vantage
  214. Breaking the COVID-19 Chain with Data Analytics
  215. How Teradata Vantage Brings Disruptive Innovation to Banking
  216. Teradata and the MIT COVID Challenge Hackathon
  217. Connect Teradata Vantage to Azure Data Factory Using Custom Activity Feature
  218. I’m Sorry CXOs, but You’re Mostly Doing Analytics All Wrong
  219. My Grocery Shopping Experiences and ... Snowflake
  220. Teradata Supports China’s Fight Against COVID-19
  221. How Bayes' Theorem Helps Prediction Analytics in Teradata Vantage
  222. People, We Need to Talk About Mass Electronic Surveillance
  223. Don’t let panic worsen the COVID-19 crisis: Let data run the supply chain
  224. Five Books Every CX Leader Should Read in this Time of Social Distancing
  225. Improving Prediction of the Unconfirmed COVID-19 Cases
  226. Teradata's Response to COVID-19
  227. Advanced Analytics for Coronavirus – Trends, Patterns, Predictions
  228. Reflecting on my Career in Data for Women's History Month
  229. Saudi Telecom Company
  230. An Introduction to Teradata’s R and Python Package Bundles for Vantage Table Operators
  231. How to Connect Teradata Vantage to Azure Blob Storage to Query JSON Files
  232. How to Repurpose Successful Database Techniques inside Teradata Vantage
  233. Teradata Has Been Named One of the World's Most Ethical Companies 2020
  234. What do you mean UX design is horizontal?
  235. Teradata is Launch Partner for New AWS Features
  236. Teradata Does Open Source! Introduction to the R and Python Packages for Vantage
  237. Why 2020 is the Year for 5G and IoT
  238. Norfolk Southern Corporation
  239. Data Privacy and Why it Matters to Our Customers
  240. Is Your Enterprise Being Disrupted by Consumerization?
  241. Analytics in the Hybrid Cloud – An Architect’s Perspective
  242. Not Just SQL Anymore! Using R and Python with Vantage
  243. 4 Trends that Will Revolutionize Data Management & Analytics
  244. Don’t Organize for AI, Organize for Analytics
  245. How Natural Language Processing Improves the Customer Experience
  246. Keeping a Lid on Concurrency within the Vantage Platform
  247. 6 Practices to Realize a Long-Term Data Vision Through Near-Term Work
  248. Teradata Experts on the Top Tech Predictions for 2020
  249. Data Analytics: How to Know the Right Business Questions to Ask
  250. Six Ways Teradata Vantage is Moving the Cloud Forward
  251. Data Analytics in the Cloud: It's Not Just Lift and Shift
  252. The Four Types of Chief Data Officers
  253. Customer Data Platforms: Silo Killer or Yet Another Silo?
  254. Is There a Geographic Component in Your Cloud Analytic Ecosystem?
  255. Vodafone Germany 5G
  256. What the Apple Card Controversy Says About our AI Future
  257. Rich Model, Poor Model
  258. Vodafone Germany Convergence
  259. Power to the People: Vantage Analyst in Action
  260. Three Distinctly Different Customer Experience Strategies
  261. Forging Strategic Partnerships for our Customers
  262. Next-Gen Concepts for Player Performance and Wellness
  263. Embracing the Darkness: Vantage Developer
  264. Teradata is Moving the Cloud Forward
  265. Survey: Success of Global Enterprise Depends on Adaptation to Hyper Disruption
  266. A Renewed Focus on User Experience at Teradata
  267. 8 Places to Visit in Denver While Attending Teradata Universe 2019
  268. Teradata Vantage and the Rhythms of Your Workloads
  269. The Future of Personalization: Deep Multi-Channel Hybrid Recommender System
  270. How to Deliver Better Business Outcomes with Predictive Modeling
  271. Teradata Certification Program Embraces Vantage
  272. ABANCA
  273. Time Series Analysis: Looking Back to See the Future
  274. Why Clean Data is Critical for Your Business
  275. Self-Service Analytics: Classifying Data and Analytic States
  276. Multitasking Within the Teradata Vantage Optimizer
  277. How Artificial Intelligence & Deep Learning Change the Game
  278. Vantage: A Cloud-First Integrated Data & Analytics Platform
  279. Taking Analytics to the 4th Dimension
  280. How Reinforcement Learning is Changing Customer Engagement
  281. Is Finance Holding Back Your Bank’s Digital Transformation?
  282. 3 Factors to Consider When Evaluating Self-Service Analytics
  283. Teradata Earns Spot (Again x2!) on Constellation ShortList for Hybrid Cloud
  284. Data is Not the New Oil. Data is Water!
  285. The Power of Prioritization in Data Management
  286. How Human Growth Defines the Future of Digital Disruption
  287. Cloud Analytic Migrations with Microsoft, Informatica & Teradata?
  288. Four Steps to Drive Digital Transformation in Your Bank
  289. Is Self-Service Analytics Sustainable?
  290. Why Multi-Dimensional Personalization is Worth the Investment
  291. Enterprise Data Strategy: The Upside of Scarce Funding
  292. What Should Your Enterprise Expect from its Cloud Analytics Vendor?
  293. Data Science for All: How to Bridge the Data Scientist Gap
  294. How to Enjoy Hybrid Partitioning with Teradata Columnar
  295. How Analytics Answer the Most Challenging Business Questions
  296. The Power of Integrated Data and Analytics
  297. Five Steps to a Successful Upgrade
  298. Why Vantage Is Our Most Popular Release Ever
  299. How Teradata and Oxford Saïd are Modernizing Analytics for Academic Research
  300. What Working “at Scale” Really Means
  301. Swedbank Delivers Superior Customer Experience by Illuminating the Customer Journey
  302. How Moving to the Cloud Helped Craft the Ideal Fan Experience for Ticketmaster
  303. AI for Industrials: Why is it different?
  304. Four Reasons Why Upgrading to Vantage is Worth It
  305. The Data Lake is Dead; Long Live the Data Lake!
  306. What Tableau Customers Should Expect Post-Salesforce Acquisition
  307. New As-a-Service Offers on Vantage Bring Simplicity, Modernization
  308. Why Hadoop Failed and Where We Go from Here
  309. 3 Easy Ways to Turn Data into Actionable Answers
  310. How to Drive Marketing Personalization in an Increasingly Non-Personal World
  311. How Air France-KLM Group Uses Cross-Channel Analytics to Smoothly Connect Over 100M Passengers
  312. How Does Compounding Interest Relate to Your Investments in Data & Analytics?
  313. 5 Myths You Have Been Told About Industrial AI
  314. What Is the BYNET and Why Is It Important to Vantage?
  315. Why is a Real Time Interaction Manager (RTIM) Essential to Providing a Superior Customer Experience?
  316. 3 Ways New As-a-Service Offerings Bring Choice and Flexibility to Teradata Vantage
  317. How to Use AI and Video Analytics to Give Your Retail Business a Competitive Edge
  318. How U.S. Bank Uses A.I. and Machine Learning to Deeply Personalize Your Banking Experience
  319. How to Analyze Data at Speed and Scale Using Pervasive Data Intelligence
  320. Why Smart Cities Need Intelligent Data
  321. The Eight Functions You Should Consider When Choosing a Self-Service Analytics Platform
  322. Why You Get Faster Query Results with Teradata’s Adaptive Optimizer
  323. 6 Lessons for Women in Tech
  324. Teradata Has Been Named One of the World's Most Ethical Companies 2019
  325. What Is Pervasive Data Intelligence?
  326. How to Use Analytics to Avoid Business Problems
  327. Adding Cloud to Your Analytic Ecosystem
  328. Building a Diverse and Inclusive Teradata
  329. Is Your Data Scientist Team Contributing to Your Company’s ROI?
  330. Managing Analytic Workloads with Cloud
  331. Cash Is Still King – Make Sure Your Business Is Prepared for the Next Recession
  332. It's the Relationship - Not Just the Data - That is Critical to Success
  333. The Utah Jazz Uses Pervasive Data Intelligence for Next Generation Sports Analytics
  334. What Lessons Can Apollo 13 Teach Us About Analytics?
  335. Is There Such a Thing as Too Much Parallelism?
  336. The First Mistake of a CDO: Proposing Business Value
  337. Simpler Is Better. Until It Isn’t.
  338. How to Fill Your AI Talent Gap
  339. Five Challenges to Building Models with Relational Data
  340. How Painful is it (Really) to Switch Cloud Providers?
  341. Using Data to Answer the Key Challenge to Enterprise Reinforcement Learning
  342. What Happened to Big Data?
  343. Enterprise Opportunities to Apply Reinforcement Learning & AI
  344. Who Was Smarter, Karl Benz or Sigmund Freud?
  345. The Circle and Square, All You Need to Know About Data and Analytics
  346. How Data Privacy Can Be Good for Your Business
  347. Ensuring Actionable Answers from Analytic Models
  348. Cloud Nine: All Your Analytics, Wherever You Want Them. Really!
  349. Making Your Time-Based Analytics Fly Faster
  350. Moving from Mapping Customer Journeys to Guiding Them
  351. A Day in the Life of a Data Scientist with Teradata Vantage
  352. Real-Time Analytics or Real-Time Decision Making?
  353. What's Next in Tech: Teradata's Experts Weigh in on 2019 Predictions
  354. Artificial Intelligence and Machine Learning: Lessons and Opportunities
  355. New! Teradata IntelliCloud for AWS Marketplace (with Metered Billing)
  356. Enabling Trusted Data within a Teradata Analytical Ecosystem
  357. Reimagining Analytics and Herding Unicorns
  358. Connecting the Dots: Accelerating Analytics into Answers
  359. Governing Data Across the Analytical Ecosystem
  360. Unleash Human Expertise with Pervasive Data Intelligence
  361. Make Data Intelligence Pervasive
  362. Customer "Jobs to be Done"
  363. North Star or Shooting Stars for Sustainable Analytics at Scale?
  364. A Special Message of Appreciation
  365. Teradata's Autonomous Platform - Automation Made Intelligent
  366. The Road Ahead: Integrating Amazon S3 and Azure Blob into Teradata Vantage
  367. Analytic Insights Remain Trapped in Complexity and Bottlenecks
  368. Stages of Grief for Data Scientists and It Alike: Making Open Source Work in Paranoid Corporations, Part II
  369. Teradata Vantage - Doing For Analytics What We Did For Data
  370. Teradata: Stop Buying Analytics. Start Investing in Answers.
  371. Increase Productivity: Rev Up Your Teradata System
  372. What Is the Teradata Analytics Platform and Why Is This Big News for an Analytics Professional?
  373. 36 Cloud Sessions at Teradata Analytics Universe
  374. Stages of Grief for Data Scientists and It Alike: Making Open Source Work in Paranoid Corporations
  375. What if Data Was an Asset?
  376. A View From the Trenches: What Should an Analytics Professional Evaluate When Purchasing an Analytics Solution?
  377. IT’s Identity Crisis
  378. Which Analytic Workloads Should Move to the Cloud First?
  379. Intellectual Curiosity—The Fuel that Drives Effective Analytics
  380. Teradata Passes GDPR Audit for Cloud Service
  381. Creating the Critical Conditions for Cloud Analytics to Thrive
  382. Teradata Earns Spot (Again!) on Constellation ShortList for Hybrid Cloud
  383. Controlling the Supply Chain: How digitalization and analytics will dramatically change your world!
  384. Redefining Modern Data Architecture
  385. How Burnout, Culture and Safety Analytics Contribute to Employee Wellness Programs
  386. Have Billions of Dollars in Organizations, Technology and Regulatory Fines Actually Reduced Money Laundering?
  387. Running Millions of Queries Per Day in the Cloud
  388. Putting AI to Work in the Finance Industry
  389. Finding the Signal in the Customer Experience (Cx) Haystack
  390. Social Psychology Analytics of Employee Stress – Through the Lens of Clinician Burnout
  391. Marketing to Machines in the Age of Algorithms: Part II
  392. Is Data Really an Asset?
  393. Engineering Customer Experience: Customer Centric Feedback Loops
  394. Microsoft Azure Update: Teradata in the Cloud
  395. Amazon Web Services (AWS) Update: Teradata in the Cloud
  396. The Fastest Path to The Cloud Starts with Knowledge: Start Small, Scale Fast
  397. The Real Hurdle to Succeeding with Analytics
  398. Taking Compliance Seriously
  399. Good Investment: Why Banks Need to Open up to the Cloud
  400. How is Analytics Helping Banks to Keep Pace with Regulatory Demands?
  401. The Future of Marketing Key Takeaways
  402. Considerations When Thinking About Moving Your Analytical Ecosystem to the Cloud
  403. Path to the Cloud: Know Your Deployment Options
  404. Data Analytics: A Prerequisite to Artificial Intelligence Mobility
  405. How to Crawl, Walk and Run with AI
  406. When the Time is Right to Try Cloud-Based Analytics
  407. 7 Citizen-Centric Sectors That Can Be Enhanced by Artificial Intelligence
  408. The Next Digital Revolution: The Amazing/Terrifying Future of Financial Services
  409. Scalability in the Cloud: Why it Matters
  410. The Best Way to Predict Your Future: Analytics for Tomorrow’s World
  411. Don’t Compromise on Customer Experience
  412. Outsourcing for Governments: Analytics can help to make the right choice (part 3)
  413. How Cloud Based Analytics Play a Role in Determining Tomorrow’s Winners
  414. Be Different
  415. Is crossing the Smart City by Air Taxi so farfetched?
  416. Show Me the Money: Subscribe to and Pay Only for What You Use
  417. Snowflake’s Credibility Melting Fast
  418. Outsourcing for Governments: Analytics can help to make the right choice (part 2)
  419. Engineering the Customer Experience
  420. The State of Analytics in the Cloud
  421. Outsourcing for Governments: Analytics can help to make the right choice (part 1)
  422. Self-service vs. As-a-service – Which Is Better?
  423. Sasol: Using Analytics and Data in the Cloud to Create and Deliver Cost Efficient Energy Around the World
  424. The Surprising State of Analytics in the Cloud
  425. Teradata Opti Awards Call for Entries
  426. The Least Risky Decision You’ll Ever Make
  427. How Much Is IoT-Driven Industry Convergence Going To Cost Your Business?
  428. Grass for the Cows and Power to the People: Why GDPR and Digital Progress are Not Contradictory
  429. What today’s machine learning and AI is and is not
  430. A Trusted Adviser: The Role of Consultants in Cloud-based Analytics
  431. Why Organizations Struggle with Customer Experience!
  432. The Future of Banking
  433. Too Much Information? Why ROI Should Really Mean Return on Information.
  434. The Chief Data Officer’s To-Do List
  435. Security in the Cloud—A Little Known Advantage, Actually
  436. Your data needs you – why driving change is the key to successful analytics
  437. Snowflake Claims 100,000% Cost Savings vs. Teradata – You Can’t Make This Stuff Up!
  438. The Evolution of Teradata – The Passion of our Past is the Fuel for our Future
  439. "Retire Teradata" - Dream On, Snowflake
  440. Leading the Way to Enterprise Analytics in the Cloud
  441. Digital Supply Chain – Fact or Fiction?
  442. "Built for the Cloud" vs "Built for Analytics" - You can have both with database scalability
  443. Is Good Enough Really Good Enough?
  444. Could big data analytics and deep learning have detected India’s largest banking fraud?
  445. Leveraging artificial intelligence in the fight against global wildlife poaching
  446. GDPR - The Final Countdown…and Beyond
  447. Why AnalyticOps Empowers Automation and AI
  448. Transforming the transformers: Demystifying data for power network transformation
  449. Guided Analytics: An Example With Path Analysis
  450. BIDMIO - The Path to Analytic Insight
  451. It's a small world after all
  452. Driving Data Science Results By Asking Why
  453. Curiosity never killed the analytical cat
  454. Standard Chartered: Creating a Golden Source of Financial Data to Continue Being, “Here for Good”
  455. Gotcha! New Visualization Techniques Make Fraud A Whole Lot Easier To “See” — And Stop
  456. What is the difference between automated and autonomous decisions?
  457. Five focus areas for success in advanced analytics
  458. What are the prerequisites for a large-scale AI initiative?
  459. Machine learning for Telcos 5G: a network of networks
  460. Don't let analytics bureaucracy dictate your pace
  461. Analytics at Scale: What Data Analysts Need to Know
  462. 5 Big Benefits of Data and Analytics for Positive Business Outcomes
  463. Spend more time on analytics and less on data prep
  464. What is the definition of AI?
  465. How IoT won the war
  466. Getting from A to B – How Customer Journey Is Changing the Customer Experience
  467. The new age of customer trust
  468. AI without machine learning
  469. Defining a Successful AI Strategy for 2018: Key Thoughts from a Data Scientist
  470. Not All Machine Learning Leads to Artificial Intelligence
  471. 8 tips to prove ROI when deploying analytics in the industrial sector
  472. What is machine learning?
  473. A value-driven approach to telco customers, possible through advanced analytics
  474. Big Data - The Big Missed Opportunity
  475. Wait, maching learning and artificial intelligence aren't the same?
  476. Teradata IntelliCloud Now Available on Microsoft Azure
  477. Internet of Things for Insurance - The Future is Now
  478. European bank goes from 0 to 60 in analytics endeavor
  479. Is the Lack of an Analytics Culture Holding Your Company Back? There’s Help.
  480. Why Enterprise AI Will Be Highly Differentiating
  481. Unsilo your workforce to unite your data
  482. When Marketing Meets Finance
  483. Avoiding Common Mistakes with AI
  484. Creativity and Critical Thinking in the Age of Enterprise AI
  485. Can Big Data Help Control India’s Spiraling Pollution?
  486. How a Telco Values Customer Loyalty Using Teradata and Advanced Analytics
  487. Uncovering Analytic Opportunities
  488. Three Implications of AI for the Enterprise
  489. Customer Journey Management and Analytics: Chicken and Egg
  490. Teradata is on a Mission! And, 2017 was a Big Step Forward
  491. Is it Too Late for Your Business to Win the Race to AI?
  492. Smart Cities 2.0 - Boosting Citizen Engagement
  493. The Future of AI for Enterprises: A Q&A with Sri Raghavan:
  494. BYOL, Fold/Unfold Now Available on Both Azure, AWS
  495. From Senegal to North Korea: Finding New Analytics Solutions to Fight Economic Disparity
  496. Understanding Teradata Elasticity
  497. Built like Blockchain? Creating a Foundation for Trusting AI Models
  498. The Culture of Value Measurement
  499. Q&A with Sri Raghavan: Applying Advanced Analytics to Health Care
  500. It all Started with ‘CARE’ – Reasons to Pay it Forward
  501. Can We Trust Hadoop Benchmarks?
  502. ETL is changing: How to transform a TLA*
  503. Taking customer journey from mapping to guiding
  504. Four tips to delight your CFO and unlock the value of data assets
  505. Behavior and Culture: The Next Steps Toward 'The Sentient Enterprise'
  506. Hype versus hope: Upcoming applications of AI
  507. Cryptocurrency skepticism: Is blockchain the Netscape of 2017?
  508. Building Deep Learning Machines: The Hardware Wars Defining the Future of AI
  509. Behavioral segmentation through path analysis
  510. Is Unstructured Data a “Trick or Treat” for your Organization?
  511. Don’t Rely on Witchcraft: Question the Status Quo of Customer Analytics
  512. Lessons from the Sentient Enterprise: To Scale Your Analytics, “Merchandise” the Insights
  513. Making the Most of Your Time
  514. More Cloud Milestones for Teradata: Azure, AWS, IntelliCloud
  515. Teradata IntelliSphere — a unified software portfolio for a unified analytical ecosystem
  516. Simplicity out of Complexity: Announcing the Teradata Analytics Platform
  517. Advanced analytics for a new era
  518. Just imagine: Analytics expertise on demand from Teradata
  519. Fast Track Business Outcomes from Artificial Intelligence with Proven Methods and Accelerators
  520. Retail: How to drive growth with advanced analytics
  521. What does real-time analytics for customer experience really mean?
  522. Mixing Operational and Customer Data for Aviation Business Insights
  523. The Sentient Enterprise. Why Another Book on Analytics?
  524. Can Big Data Help Reduce India’s Burden of Healthcare Costs?
  525. The New Wave of Machine Learning
  526. Survey: State of Artificial Intelligence for Enterprises
  527. The Tree of Machine Learning Algorithms
  528. Is that a bully in your sentence?
  529. Artificial Intelligence Unstuck: How Competition, Not Bureaucracy, is Moving AI Forward
  530. Lessons from the Sentient Enterprise: Three Big Predictions from the Pros
  531. The Age of Automation: Where does creativity fit in?
  532. That (Amster)damn utilities data…
  533. Open Source AI is in the Same Place Big Data Was 10 Years Ago
  534. Is failure good for your data scientists?
  535. Teradata Database 16.10 Now on Azure and AWS Marketplaces
  536. Within data and analytics, the “If you build it, they will come” mentality is finally dead
  537. The 9 steps every business analyst should take
  538. Who owns the customer experience in the digital age?
  539. Could the English Language Get Any More Confusing?
  540. The Uberization of Analytics
  541. Occam’s Razor and Machine Learning
  542. Hybrid Cloud Use Cases
  543. Objectives and accuracy in machine learning
  544. Are there relics in your data management?
  545. Going to the cloud? Benefit from the amazing experiences of those who are having success at PARTNERS 2017
  546. What It Means To Partner With A World-Class Sales Organization: Part Three
  547. Is analytics operations the key to successful data science?
  548. Five ways Analytics and Data Science can add business value
  549. The secret to AI in the Enterprise could be little-known transfer learning
  550. What It Means To Partner With A World-Class Sales Organization: Part Two
  551. A message from Teradata CEO, Victor Lund
  552. It’s time to wake up to the big data gold mine
  553. Henry Ford Didn’t Build a Faster Horse – and Neither Should You
  554. ‘Game’ theory: Perfecting in-app purchasing through analytics
  555. Blockchain in your supply chain: What’s all the hype about?
  556. What It Means To Partner With A World-Class Sales Organization
  557. TD Team Spotlight: Koontz draws strength from lifting up others
  558. Lessons from the Sentient Enterprise: Business data meets business culture
  559. Data and analytics in financial services — a challenge or an opportunity?
  560. Have CFOs Changed Their Mindset When It Comes to Data?
  561. The future of marketing: Q&A with Andrew Stephen and Yasmeen Ahmad
  562. Getting value from attribution analytics, according to Gartner
  563. Myth Versus Reality: The Truth About Cloud Security
  564. What today’s machine learning and AI is and is not
  565. Security: It’s not just about keeping the bad guys out
  566. Deep learning for executives: The killer apps for deep learning
  567. Part Two: Age of the Machines – Predicting the Human and Machine Partnership
  568. Your data needs you – Why driving change is the key to successful analytics
  569. Teradata Bolsters Analytics and Database Capabilities for Microsoft Azure
  570. Bean Counter Or Business-Growth Enabler? What Can The CIO Learn From The CFO?
  571. The future of marketing — it’s (still) the data, stupid
  572. Big data and the fight against human trafficking
  573. Danske Bank: Innovating in Artificial Intelligence and Deep Learning to Detect Sophisticated Fraud
  574. How Curiosity Saves Your Company … And Turns Your People Into Citizen Data Scientists
  575. GDPR in 3 Easy Steps
  576. Deep Learning for Executives: How Will it Change Your Business?
  577. IntelliCloud Now in AWS Ireland – and Much More!
  578. The future of marketing – You don’t own your brand anymore
  579. Introducing the Path Analysis Interface for Teradata
  580. Unchartered Waters: Machine Learning in Geoscience
  581. The future of marketing — is it really all about #data?
  582. Analytics, data science, ethics, robots and GDPR at ‘The Future of Marketing’ event
  583. Maybe you can’t machine learn everything – but does that mean you shouldn’t try?
  584. Big Data and the Fight Against Climate Change
  585. Who Wins with Cloud Adoption?
  586. Teradata Cares for the Munich Orphanage
  587. Breaking Up the Boys’ Club to Unlock the Tech Industry’s Untapped Potential
  588. Deep Learning for Executives: What Exactly is it Again?
  589. Deep Learning: New Kid on the Supervised Machine Learning Block
  590. Why The CFO Cannot See The Value Of Data And Analytics In The Balance Sheet
  591. Open Banking – For Whom?
  592. Big Data Brings Recruitment into the 21st Century
  593. Building the Machine Learning Infrastructure
  594. The Outcome Economy, Powered by IoT
  595. Working in the New World of Data and Analytics
  596. Team Effort Makes a Big Difference in the Community
  597. Team Effort Makes a Big Difference in the Community
  598. Doing Our Part to Close the Skills Gap
  599. The Promise of Artificial Intelligence: Where We’re Headed and Whence We’ve Come
  600. Sanofi: Forwarding Medical Advances and Breakthroughs to Help People Have Better Health
  601. The Future of Marketing: Bringing Together Business and Education to Close the Skills Gap
  602. The Complex Role of Data in Today’s Digital Revolution
  603. Neil Armstrong and DHL—Two Giant Leaps for Mankind in a Single Year
  604. PNEC#21 and a Unique Take on the Value of Analytics
  605. Data Science Versus Data Engineering
  606. Defining the CDO: Gatekeeper vs Innovator
  607. Lufthansa Group: Connecting Europe to the World While Keeping the Customer at the Center of Business
  608. Should Data Modelling be a ‘Prescriptatorship’, or Take a More Laissez-Faire Approach?
  609. Why “Unsupervised,” Autonomous Cars are Right Around the Corner
  610. Mind the Gap: Cloud as a Temporary Fix
  611. Predicting the Path of Predictive Analytics
  612. The Future of Health and Human Services Data Modeling (Part 2)
  613. Stuck in a Marketing Rut? Key Questions to Ask Yourself
  614. Improve your marketing through AI-influenced analytics
  615. Discovery, Truth and Utility: Defining ‘Data Science’
  616. The Future of Health and Human Services Data Modeling (Part 1)
  617. Machine Networks – Competitive Strength In Numbers
  618. Spaghetti Bolognese: A Recipe for Creating More Effective Promotions
  619. Machine Learning Goes Back to the Future
  620. How Are Customers Like Bees? They Rarely Travel a Straight Path or Make a Single Stop
  621. The Business Impact of Machine Learning
  622. Optimize the End-to-End Customer Experience with Business Analytics Solutions
  623. Understand the Customer Through Art
  624. Customer Journey Analytics – One Bite At A Time
  625. AI is Red Hot. But Where Is All This Innovation Pointing Us
  626. Proprietary Analytic Approach Accelerates Time to Value
  627. No, You Can’t Machine Learn Everything
  628. Standing With Women in Tech: Tips for Success
  629. Five Ways Cloud Vendors Are Dealing With Data Privacy Concerns
  630. The Age of the Machine
  631. Teradata on Azure: Available Now!
  632. Path Analytics Shouldn’t Be This Difficult!
  633. Unprecedented Power & Performance Upgrades for Teradata IntelliFlex®
  634. Teradata Jumps Ahead: Flexible Licensing Choices Change Everything
  635. Synchronicity: Teradata’s Two Key Q1 Cloud Milestones
  636. The New Data Analytics Use Cases: Hybrid Cloud Takes Center Stage
  637. Five Key Findings from the Teradata Global Data and Analytics Trends Study 2017
  638. Disruption and Leadership on Gartner’s DMSA Magic Quadrant
  639. Introducing Teradata IntelliCloud: Our Next Generation Managed Cloud
  640. Analyzing the Analytics
  641. Business Reasons for Analytics
  642. IoT - Just What the Doctor Ordered!
  643. Teradata Strengthens Hybrid Cloud Commitment with Teradata Database on Azure
  644. Ditch the Old Ways of Product Management. Say Hello to Product Innovation.
  645. Expect the Unexpected: Real Stories of Challenges that Slow Digital Transformation
  646. Disrupt Thyself: A 3-Point Plan For Innovation At Large Enterprises
  647. The Analytics and Leadership Mandate for Digital Transformation
  648. Three Reasons Our Customers Are Excited About Teradata Everywhere™
  649. Borderless Analytics: Taking Complexity Out of Today’s Analytical Ecosystem
  650. Teradata Aster makes it Easy to Unlock New Insights from Hadoop Data
  651. Digital Transformation: Are You Winning Battles, Yet Losing the War?
  652. Part Two: How to Make the Value of Data and Analytics Visible to the CFO
  653. Analyzing your Analytics
  654. Hacking IoT: Fast-Tracking Transformational IoT Solutions
  655. Data-Driven Insights Are All Around Us – Are You Listening?
  656. Is Your Business Agile? These Three Ways Can Help You Find The Answer
  657. Three Ways to Run Your Global Business With Startup Agility
  658. Is Your Data Lying to You?
  659. The Future Of Hadoop Is Cloudy, With A Chance Of Growing Ecosystem
  660. The Secret to Big Data Analytics Success Comes Down to One Word
  661. Struggling to Get Faster Data-Driven Insights? Take this Lesson from the Telecom Industry
  662. Will Data Anarchy Shut Down the Big Data Revolution?
  663. A LinkedIn For Analytics: Helping Analytic Insights Go Viral In Your Business
  664. The Ergonomics of Human-Data Interaction
  665. Is Your Enterprise ‘Sentient?’ Building A Smarter, More Agile Business

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