Thu.May 30, 2019

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Top 7 Free Resources for Data Scientists

Dataiku

Data Scientists are a passionate and curious bunch, who explore the ecosystem to learn new technologies and best practices but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for data scientists to keep up with the latest in research, corporate practices, and data ethics.

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The Good, the Bad, and the AI

Andrew White

AI is not ugly, that’s for sure. AI is a promising technology, and it is certainly in the limelight. Several articles in the papers over the last few weeks highlight what is good and bad about AI. Here is a snippet of a couple of them. From the US print edition of the Wall Street Journal: April 30 2019: Data Management Helps Companies Exploit AI.

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Big Data Leads To An Impressive Array of Chatbots In Customer Service

Smart Data Collective

Big data is changing the direction of customer service. Machine learning tools have led to the development of chatbots. They rely on big data to better serve customers. Namee Jani wrote a fascinating article on chatbots and data analytics last year. She said they are the next big thing in business optimization in her article on Towards Data Science.

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5 Data Visualization Techniques When Designing for Mobile

Sisense

It’s hard to think about life before cell phones. They function as wallets, music players, newspapers, work tools, GPS systems, and much more. Let’s not forget the instant gratification people expect from their phones. Today we want everything, instantly, in the palm of our hands. That includes insights. If you take the amount of data generated on a daily basis, add to it the move to mobile, and combine that with the need for instant gratification…data visualization for mobile has a lot of

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Happy anniversary: The innovation continues with IBM Cloud Pak for Data v2.1

IBM Big Data Hub

It’s been one year since we launched IBM Cloud Pak for Data (previously IBM Cloud Private for Data), IBM's data and AI platform for today's modern enterprise. Since then, this platform has been embraced by hundreds of customers, and Forrester ranked it No.

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3 Easy Ways to Turn Data into Actionable Answers

Teradata

Rob Armstrong explains three critical ways to get better answers from your data.

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Why You Need a Data Catalog & How to Choose One

Octopai

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The right data catalog tool can be a powerful complement to your existing BI processes.

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Out Innovate the Competition

CDW Research Hub

In today’s dog-eat-dog digital economy, enterprises have had to adopt an MO of constant innovation. How do you out-innovate the competition? Business transformation is only possible with a high-performance storage and infrastructure solution in place that can handle business-critical workloads. PowerMax has been around a long time. Its performance is trusted.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

Today, I want to invite you to a thought experiment. Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic tech

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Long story short, you will learn whether Johnny Mnemonic would have been better off, had he been tasked with smuggling Linked Data.

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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.