Fri.May 10, 2019

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Is Your AI Project About Customer Experience or About Business Decisions?

Decision Management Solutions

Many organizations are investing in artificial intelligence (AI) initiatives these days. However, many are also lumping all of the uses of AI into the same program. This is a terrible idea because AI technologies are being used for two very different business outcomes. AI success relies on a clear focus on business outcomes rather than on the technology itself.

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Interview with Pat Dever

Corinium

Avista’s Chief Data Strategist Patrick Dever says that to empower other business units, CDOs have to convince stakeholders, and make data more accessible.

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5 Types of AI to Propel Your Business

ScienceSoft

Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.

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11 Important KPIs for a Highly Effective HR Manager

Jet Global

As the competition for talent grows, workplaces around the world are facing pressure to attract, engage, and retain employees. Under scrutiny to demonstrate the value they add to a company’s strategy, many human resources (HR) departments are turning to analytics supported by key performance indicators (KPIs) and metrics. Assessing HR Goals. HR managers are responsible for balancing the needs and goals of both the company and the workforce.

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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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What good are notebooks? Bridging the data science skills gap with collaboration

IBM Big Data Hub

Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis. While the players may have different skill sets and processes, in the world of predictive analytics, collaboration between them can position an entire team to win with data science.

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AI Simplified: Feature Effects

DataRobot

How can you better understand the risks involved when funding a loan? With feature effects. Jordan Meyer, Customer-Facing Data Scientist at DataRobot , gives a quick explanation of how feature effects in DataRobot help manage loan risk. With feature effects, one feature is examined at a time while holding all other factors constant.

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Elegant MicroWeb (Smarten SSDP Solution) Named as a Representative Vendors in Gartner April 2019 ‘Market Guide for Data Preparation Tools’

Smarten

Elegant MicroWeb is included in the Gartner Market Guide for Data Preparation Tools, published on April 17, 2019. The Elegant MicroWeb (Smarten SSDP solution) is listed as a Representative Vendor in the Gartner Market Guide for Data Preparation. The CEO of Elegant MicroWeb, Smarten, Kartik Patel says, “We are truly honored to be recognized by Gartner.