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Is Machine Learning Really AI?

CTOvision

There’s so much being said about machine learning (ML), but perhaps the train has left the station with whether many ML projects are truly AI: One of the downsides to […].

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Artificial intelligence (AI) vs. machine learning (ML): 8 common misunderstandings

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Read Stephanie Overby bust some myths about machine learning and artificial intelligence on Enterprisers Project : Some people use the terms of artificial intelligence (AI) and machine learning (ML) interchangeably. […].

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IBM donates machine learning tooling to enable ‘responsible’ AI

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is donating three open-source artificial intelligence development toolkits to LF AI, an organization within the Linux Foundation that maintains open-source machine learning tools. The LF AI Technical Advisory Committee […].

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Is Machine Learning Really AI? (Pt. II)

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Continuing a previous article, Ronald Schmelzer explores in a Forbes article whether or not many machine learning projects are truly AI: If AI is to be a useful term to […].

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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How artificial intelligence (AI) and machine learning change security’s future

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Read Mark Runyon explain how CIOs can leverage artificial intelligence and machine learning to combat sophisticated cyberattacks on Enterprisers Project: As artificial intelligence (AI) and machine learning (ML) are increasingly […].

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76% Of Enterprises Prioritize AI & Machine Learning In 2021 IT Budgets

CTOvision

Enterprises accelerated their adoption of AI and machine learning in 2020, concentrating on those initiatives that deliver revenue growth and cost reduction. Consistent with many other surveys of enterprises’ AI […].

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. What is AI? What is IPA? Common IPA use cases.

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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? This white paper covers: What’s new in machine learning and AI.

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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). Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

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Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.

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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.

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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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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Download the report to gain insights including: How to watch for bias in AI.