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AI agents will transform business processes — and magnify risks

CIO Business Intelligence

Starting in 2018, the agency used agents, in the form of Raspberry PI computers running biologically-inspired neural networks and time series models, as the foundation of a cooperative network of sensors. “The Adding smarter AI also adds risk, of course. “At That means the projects are evaluated for the amount of risk they involve.

Risk 136
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Data center provider fakes Tier 4 data center certificate to bag $11M SEC deal

CIO Business Intelligence

From 2012 through 2018, the SEC paid Company A approximately $10.7 Another news report dated 2016 shows Jain as the Founder and CEO of AiNET, which “designs, constructs, operates, and supports Internet data centers, optical fiber networks, and easy-to-understand cloud solutions. By then, the Commission had spent $10.7

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2018 Call for Code Winner Project OWL advances its natural disaster communication network

IBM Big Data Hub

Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.

IT 67
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Reporting Requirements for Consolidated Financial Statements

Jet Global

After more than four decades with only minor revisions, the past 15 years have seen a rapid evolution in the reporting requirements for consolidated financial statements. Here, we’ll take a look at the current criteria for reporting your consolidated financial results. Evolution of Reporting Requirements. When to Consolidate.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Big Data Hub

But the rates of exploration of AI use cases and deployment of new AI-powered tools have been slower in the public sector because of potential risks. But tax agencies must adopt AI tools with adequate oversight and governance to mitigate risks and build public trust.

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Generative AI in the Enterprise

O'Reilly on Data

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. And only 33% report that their companies aren’t using AI at all.

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Key Strategies and Senior Executives’ Perspectives on AI Adoption in 2020

Rocket-Powered Data Science

The survey also had forward-looking questions, as well as historical comparisons and trends from results of similar “state of AI in the enterprise” surveys in 2018 and 2019. 4) Only 26% of respondents reported that AI technologies are being used to replace human labor. anticipate cutting jobs. anticipate cutting jobs.

Strategy 198