OpenAI hires Meta’s former Orion head to lead its robotics efforts

Whose role is it to predict unforeseen risks that any implementation could contain, and to handle change management? Who’s responsible for making sure that no one is disadvantaged by new technologies—so often designed and built by white men—and guard against unwitting discrimination? It may be that the most valuable CxO for your business reputation is actually a chief ethics officer rather than a head of metaverse. There’s a very good argument that the best person to take on responsibility for AI initiatives already sits in the boardroom.

Chief AI officer is tech’s hottest new role — but finding workers with the right skills is tough

That’s why the best people to oversee AI and Metaverse initiatives might well be those who are already in charge. While they are also appointing AI committees with representation from business units, such as marketing, software development, and manufacturing, these business units are ultimately led by a chief AI officer. “We are seeing a lot of our customers right now, especially the more mature enterprise customers, making investments in chief AI officers,” he noted.

The Pace of AI Innovation Outstrips Traditional Leadership Capacities

For example, will this person have responsibility for internal investments and external partnerships? These are just some of the questions to consider when fitting new technology into existing corporate structures. But Chief Executive Officer of an AI startup job simply appointing a new member of C-Suite is no guarantee you’ll solve the challenges or reap the opportunities presented by AI or Web3. A well placed hire to get AI embedded in your company’s DNA can be the ticket to a fast, innovative approach. Creating an AI strategy that can be applied across the entire business may be what determines whether a company gets left behind, he said. But some businesses aren’t sure what the role entails, and whether it’s necessary.

of enterprises using AI will deploy AI agents by 2025

Many organizations, she said, are federated and enable all sorts of different platforms and technologies. As countless organizations race to investigate or adopt artificial intelligence technologies, many are building out an AI skilled workforce. That includes the decision to appoint or hire a chief artificial intelligence officer (CAIO).

Cross-Disciplinary, Strategic Leadership

• Dahut added that CAIOs ought to report directly to senior leadership, rather than another C-suite peer, like the chief information officer.
• They should be able to work collaboratively with many departments in developing AI strategy and vision, and they should be able to design and target relevant business use cases, assess project outcomes, and measure ROI in each case.
• If the government installs CAIOs, we can be sure that major businesses will follow suit.
• Machine learning was, and still is, being used to train AI systems in fields like financial risk management and medical diagnosis.
• Ideally, it’s “a blend of technical expertise, strategic vision, and executive-level leadership,” Kinsey told BI.
• Frank Yeary, independent chair of the board of Intel, will become interim executive chair during the period of transition.

“They are spread across the organization horizontally. They deal with governance, security, compliance, legal, risk management, business, and line-of-business units that generally never get exposed to the other tech side.” The ethics of AI use, compliance with future regulations, and management of risk are all reasons to have a dedicated individual and team focused on the area. AI has been a bit of a “Wild West” situation to date – some tools have been accused of violating the intellectual property of authors and news organizations, and many caution users not to upload their own proprietary data. In the short term, Coto says his role as CAIO has enabled him to solidify his position as a leader in the tech industry.

Impacts and Benefits of Instituting a CAIO

Seek out dynamic leaders with interdisciplinary dexterity – those equally as fluent in discussing code architectures as business objectives. The CAIO role necessitates effectively connecting AI’s nuts and bolts to the overarching enterprise mission. Mixed education or work histories that blend multiple domains signal the desired versatility. Only some CAIOs function as solo operators – they are team builders at their core.

Company

“There’s always this gap between the hype of what’s possible and what reliably works,” says Varun Mohan, CEO of rival coding startup Codeium. It was the first major task Devin ever completed, and proof of concept for Cognition’s vision of AI taking the grunt work out of coding. Now, almost a year later, Devin is handling basic engineering jobs—spotting and fixing bugs, updating chunks of code and migrating them between platforms. Give it a simple prompt—“clean up this codebase”—and it creates a plan of action and executes it. Intel technologies may require enabled hardware, software or service activation.

Typically reporting to the CAIO are data scientists and engineers, ML engineers, AI product leads, and software engineers focused on leveraging AI algorithms. Ozzie Coto, chief AI officer and CTO at The Cult Branding Co., provides another model for the CAIO role evolving today. Coto co-founded the company, served as its initial chief technology officer, and was later tasked with overseeing AI investments as well. “Software engineering in the real world is just very messy,” he says from Founders Fund headquarters overlooking the San Francisco bay. “Humans write bugs all the time.” And to be fair, multiple detractors like Maniar were impressed with the tool’s abilities. Devin has improved significantly in the seven months since launch, Wu claims, in part thanks to feedback from early enterprise customers who seem to accept the agent as a work in progress.

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This post was written by SPORTSERVE ADMIN