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Briefing the board on AI: Educate to tee up investment

CIO

This year’s escalating hype around artificial intelligence finds CIOs once again in the spotlight. Unless you’re the CIO of a highly tech-savvy company, chances are your board will need education as well as information when it comes to AI. Artificial Intelligence, IT Leadership What about your AI workforce?

Briefing 448
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AI Change Trajectory of Education Software Development

Smart Data Collective

The education sector spent $2.75 Artificial intelligence (AI) is revolutionizing education by offering personalized learning experiences and streamlining administrative tasks. billion o AI in 2022. It is posed to invest even more in it this year. This […]

Education 253
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Johnson & Johnson’s big bet on intelligent automation

CIO

Three years ago, Johnson & Johnson (J&J) set out to apply intelligent automation (IA) to every aspect of its business. By combining RPA with machine learning (ML) and artificial intelligence (AI), they sought to automate more complex tasks. But organizations like J&J wanted to take automation further.

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AI data readiness: C-suite fantasy, big IT problem

CIO

It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal. Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems.

IT 504
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Deepfakes are a real threat to India’s FSI sector, say tech leaders

CIO

While Artificial Intelligence has evolved in hyper speed –from a simple algorithm to a sophisticated system, deepfakes have emerged as one its more chaotic offerings. The government should invest funds in educating the common man about deepfakes in a vernacular language reaching rural India.” Now, times have changed.

Algorithm 459
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European hospitals launch Microsoft-backed AI network to agree privacy guardrails

CIO

Artificial intelligence, it is widely assumed, will soon unleash the biggest transformation in health care provision since the medical sector started its journey to professionalization after the flu pandemic of 1918. Sharing best practices on the outcomes of AI in healthcare, including how to avoid the bugbear of bias.

Hospitals 543
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO

Developing models isn’t trivial, and data scientists certainly have challenges cleansing and tagging data, selecting algorithms, configuring models, setting up infrastructure, and validating results. The lifecycle starts before model development and requires educating business leaders on their roles in contributing to AI projects.

Education 482