Remove data-and-artificial-intelligence
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Data Streaming and Artificial Intelligence: The Future of Real-Time Social Media Monitoring

Confluent

Learn how data streaming and artificial intelligence enables you to project your brand’s reputation with real-time social media monitoring.

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Five Core Virtues For Data Science And Artificial Intelligence

CTOvision

Read Aaron Burciaga list the five core virtues for data science and artificial intelligence on Forbes : Virtues should be digitized.

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EU and US agree to chart common course on AI regulation

CIO

The European Union and the US have agreed to increase co-operation in the development of technologies based on artificial intelligence (AI), placing a particular emphasis on safety and governance. The European Union is seeking to regulate the development of artificial intelligence in the region with a recently approved AI Act.

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Pentagon’s first chief AI officer leaves after two years

CIO

The first leader of the fledgling Chief Digital and Artificial Intelligence Office [CDAO] in the US Department of Defense is leaving his post, but the Pentagon already has a successor lined up. Martell had previously served as head of machine learning at Lyft and as head of machine intelligence at Dropbox.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.

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AI poised to replace entry-level positions at large financial institutions

CIO

Global banks and investment firms are currently mulling plans to replace entry-level financial analyst positions with artificial intelligence (AI), with as many as two-thirds of these positions potentially on the chopping block.

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Re-imagining Business Workflows with AI-Powered Automation

CIO

Artificial intelligence (AI) is delivering rapid change for Australian business by raising customers’ expectations, generating new competitive challenges, and creating opportunities for new products and services. The integration of AI into Tungsten Automation’s service offering is organised around three key pillars.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities. Identifying good use cases.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? Download this comprehensive guide to learn: What is MLOps?

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely. Dashboard design do’s and don’ts.

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The Recruiting Crossword Puzzle

On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape. The good news?