Wed.Jul 03, 2019

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11 Superb Data Science Videos Every Data Scientist Must Watch

Analytics Vidhya

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural. The post 11 Superb Data Science Videos Every Data Scientist Must Watch appeared first on Analytics Vidhya.

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The Insights Beat: Light Up The Sky With Insights This July

Srividya Sridharan

It’s nearly Independence Day in the United States—a day filled with parades; fireworks; family; and, of course, delicious food. The day honors something that we, like the Founding Fathers before us, hold dear in the research organization at Forrester: the agreed upon final wording of a document, devised by a team of thinkers, driven by a […].

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What is the impact of data science automation?

IBM Big Data Hub

On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing, optimizing and governing AI in the enterprise. As a result, data scientists can be liberated to commit more time to designing, testing and deploying machine learning models. To learn more about what these developments mean for the data science community, I sat down with IBM’s Vice President of AI, IBM Research, to get his perspective.

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Sisense AI – What it Really Takes to Build a Better Mousetrap

Sisense

Blog. Everyone…. literally everyone (even my mother) is talking about AI these days. Whether it is the now ubiquitous ‘next product to buy’ or excitement in the news evangelizing AI’s potential for detecting cancer, we have long passed the point where AI and Machine Learning are restricted to the technology lab. AI is nothing new for Sisense. In fact, our core In-Chip™ Performance Accelerator is built on machine learning algorithms that optimize the use of memory and cache, allowing us to manage

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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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Growing data complexity? Meet scalable enterprise performance management

IBM Big Data Hub

When businesses evaluate cloud infrastructure, databases or other core business systems, they nearly always consider scale as a decision factor. But scalability – the ability to grow as planning and business grows – is often overlooked for enterprise performance management.

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Tools for machine learning development

O'Reilly on Data

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. In this week's episode of the Data Show, we're featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast , where he was interviewed by Jeff Meyerson.

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A Framework for the New FP&A Department

Jedox

In the first post “ The Future of FP&A ” of this blog series, we discussed how the CFO must be the guide, and Financial Planning & Analysis (FP&A) must take control of new and changing expectations for the finance department. From that foundation, now we dig deeper into that discussion and offer a framework for how to accomplish this, beginning with the “why.” Why: Overall tone for FP&A.

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