Tue.Feb 15, 2022

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Knowledge Discovery, Data Gravity, and AI: Usama Fayyad & Gregory Piatetsky-Shapiro on the Data and AI Legends Podcast

KDnuggets

Public understanding of AI applications usually goes through a phase shift, from "it cannot be done" to "of course, a computer can do it".

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Intelligence and Comprehension

O'Reilly on Data

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

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Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers

Smart Data Collective

There are many ways that artificial intelligence technology developments are influencing academia. One of the most significant changes that AI has introduced is detecting plagiarism more easily. Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. How AI is Radically Changing the Future of Plagiarism Detection.

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From Oracle to Databases for AI: The Evolution of Data Storage

KDnuggets

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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The Right Data Can Help Guide Business Decision Making

Smart Data Collective

Most companies have known for years that big data can be invaluable to their organizations. However, far fewer try to use it effectively. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail.

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Common Data Problems (and Solutions)

KDnuggets

Let’s have a look into some of the common problems with data and the solutions for them.

More Trending

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Industry Best Practices for AI Governance

Dataiku

What we know for sure is that companies today face loads of pressure to quickly adopt AI technology. Vikram Mahidhar and Thomas H. Davenport of Harvard Business Review even go so far as to say that, “Companies that wait to adopt AI may never catch up.” Understanding this pressure that organizations face in this hastened race to integrate AI, we know that companies face the temptation to simply avoid AI adoption due to perceived risks, which are ultimately to the detriment of both consumers and t

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Developing & Processing Real-Time Data Stream Applications

TDAN

Most large technology businesses collect data from their consumers in a variety of methods, and the majority of the time, this data is in its raw form. However, when data is presented in an understandable and accessible style, it may assist and drive business requirements. The task is to process the data and, if required, […].

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Why Data Governance is Critical for the Retail Industry

Alation

For more than two decades, the big battle in the retail industry has been between online and offline channels. It was the bricks-and-mortar, merchandising experience versus the data-driven, near-limitless inventory and dynamic flexibility of e-commerce competitors. But today’s consumer wants both. The pandemic only accelerated the trend of omnichannel consumers demanding more personalized attention from both broad and niche retailers.

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The Data Behind Love

TDAN

Relationship status aside, it’s hard to avoid Valentine’s Day: from your apps to in-store campaigns to cheesy e-cards filling up your inbox, it’s everywhere. You may spend time with a loved one, over-indulge in your favorite chocolate, or make a mockery of the whole thing and stock up on clearance candy on the 15th. Whatever […].

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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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Solving Hybrid Multicloud Complexity: Nutanix Introduces Simplified Cloud Portfolio

Nutanix

Nutanix lets you seamlessly scale your apps, easily set up and tear down test and dev, run mission-critical workloads with stringent security and business continuity needs, and much more.

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How To Accelerate Data Democratization

TDAN

The future of data democratization lies in the hands of your end-users. They are already generating data, they know what problems they need to solve with it, and they know how to use that information for business value. It is time you let the end-users pull their own weight without having to rely on IT […].

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Announcing Nutanix Cloud Manager

Nutanix

As of Feb 15, Nutanix has announced the availability of the Nutanix Cloud Manager™ solution, beginning a new chapter in hybrid multicloud management.

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Transformative Budgeting and Planning: Five Factors to Consider

Jet Global

Budgeting is one of those essential processes in which every business must engage. It’s critical to have a meaningful financial plan in place, to have realistic targets to achieve. Unfortunately, traditional models for financial planning and budgeting are increasingly strained as businesses strive to cope with change. Many are seeking leaner, more agile budgeting and planning options.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating