Sat.Oct 21, 2017 - Fri.Oct 27, 2017

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First-ever IBM Analytics University empowers data transformation

IBM Big Data Hub

If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.

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Smarter, Better, Faster Data Discovery

Smarten

The Next, Even Better Gift: Advanced Data Discovery Tools! Have you ever noticed that when you give someone something, they often want more? This is especially true when they really like what you gave them! As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential.

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A story chart of the corporate information age

Mark Raskino

It was nineteen-eighty-something. “ Information technology, is a societal, epochal technology ” said my university lecturer, quoting a translated Japanese author (that made the insight seem even more wise and visionary). Like … wow man. Decades later I find it helpful to reconsider the 60 to 80 year journey that historians call the ‘information age’ It’s not ivory tower thinking, it can be very enlightening for business and IT executives as they grapple with q

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Cybersecurity On Call: Balancing Connectivity and Cybersecurity with Paul Roberts

Cloudera

Our lives continue to become connected, just look at your phone in your pocket. If you have an iPhone 6, for example, you are walking around with a connected device that has nine sensors in it. Nine sensors that are constantly collecting data about you. If you are an Amazon Prime user, chances are you’ve heard of an Amazon Dash Button that connects your Amazon account for 1-click shopping for those “hard to live without” items.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Three “must-have” capabilities to unify data governance

IBM Big Data Hub

Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.

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Cloudera CDH 5.13 Delivers Enhanced Unified Platform and Security Capabilities

Cloudera

Your enterprise big data and machine learning initiatives can be delayed, fail, or risk security breach unless you choose the most mature, most tightly integrated platform. The good news is that enterprise big data and machine learning initiatives will benefit from increased agility and decreased risk with the recent release of CDH 5.13. One primary goal was making multi-disciplinary analytics workloads run smoothly and efficiently in the cloud when backed by our new Shared Data Experience.