IT Transformation: AI by the Numbers
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Essential strategies for overcoming the AI skills gap
By: InterSystems
Type: eBook
According to recent reports, while 95% of organizations are currently developing plans for AI, only 4% report that their architecture is ready for AI.
InterSystems solutions not only create AI ready data, but they also offer a key bridge to addressing the AI skills gap by embedding AI and advanced analytics capabilities directly within the platform to make it easier to build AI-enabled applications.
Read on to discover the essential strategies to overcome the AI skills gap, and find out how InterSystems can help you uncover what may be holding your AI initiatives back.
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Your organization's 2020 AI Roadmap
By: Data Science Central
Type: eGuide
Enterprise use of AI technologies is rapidly growing and showing no signs of slowing down. How is your organization planning to leverage AI and machine learning in the coming year?
Weigh in on your current (or future) AI projects and we’ll grant you immediate access to our expert 44-page guide Buying an AI Infrastructure: What You Should Know which provides in-depth insights on:- Defining enterprise AI
- IT, finance and marketing use cases of AI
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Take our quick survey to access your guide now!
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The state of data in the AI era: What you need to know
By: Software AG
Type: eBook
There’s a (not so) new kid in town that’s dominating the conversation: AI. Generative AI has ignited imaginations across the world.
But while AI may be overtaking public discourse, data is (of course) not going anywhere. That’s because the success of AI projects is not simply a result of innovative algorithms or machine learning models; it fundamentally relies on mass quantities of accessible, reliable data.
In this e-book, explore:
- The state of AI in the enterprise
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- Moving beyond data integration for even better AI results
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Read on to learn about data integration’s vital role in the quest to scale AI.
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Why AI governance is a business imperative for scaling enterprise artificial intelligence
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The Rise of AI in Cybersecurity: Is It a Benefit or Hazard?
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AI-based application testing: Simulate attacks at scale
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With advances in AI capabilities, hackers have leveraged the evolving technology in order to perform more sophisticated attacks at scale. If actual attacks are using AI, then simulated attack testing that is performed at scale using AI is as close of a simulation to the real thing as one could hope for. Read on to learn more.
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Why quality data is key for maximizing your AI initiatives
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Putting people first: How humans and AI elevate CX
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5 reasons why you can’t afford to wait on AI
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How generative AI is enabling better customer experiences
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Your checklist for generative AI field service use cases
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