Companies keep slashing jobs How worried should workers be about AI replacing them? Los Angeles Times

“Which insurance companies, in general, don’t cope well with.” Dealing with the impact of climate change has become increasingly difficult, with flooding and wildfires ever more prevalent. In addition, for an industry in which the data is the business, the ever-present threat of cyber attack brings reputational and cost risks to loom over operations. And in a best-case scenario, the public would be involved before launch, Albany’s Gascó-Hernandez said. Sanchez said he and his team of about four people tested the chatbot before it went out by submitting questions they expected the public to ask. Cal Fire is currently making improvements to the bot’s answers by combing through the queries people make and ensuring that the chatbot correctly surfaces the needed answer.

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Having said that, it’s also the case that many in the industry face challenges when it comes to moving from the current experimental phase to implementing gen AI at scale. “These user engagement and user experiences are very important so the citizen ends up using the chabot,” she said. But experts said the process of kicking the tires on a chatbot should happen long before procurement begins. When asked if the Ranch Fire, a 4,293-acre fire in San Bernardino County, was contained, the chatbot said that the “latest” update as of June 10 showed the fire was 50% contained.

In short, GenAI brings speed and scalability to each phase, enabling more creative, agile and user-centered decisions. In today’s fast-paced digital world, where development cycles move faster and consumer expectations are higher than ever, design thinking has become the foundation of human-centered problem-solving. Yet, this powerful framework needs an upgrade when problems become more complex. CTOs from Expedia and Kayak discussed how they are adapting to new search paradigms enabled by LLMs.

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• Leading indicators are adoption rates, how many times a day employees use the tool, weekly active user reports and the feedback metrics.
• Tech companies have announced 74,716 cuts from January to May, up 35% from the same period last year, according to a report from Challenger, Gray & Christmas, a firm that offers job search and career transition coaching.
• When asked if the Ranch Fire, a 4,293-acre fire in San Bernardino County, was contained, the chatbot said that the “latest” update as of June 10 showed the fire was 50% contained.
• The company also sees AI as a lever in its enterprisewide productivity push, which it hopes will generate around $1 billion in annual cost savings.
• Its Chief Data Officer Richard Clarke said it is using LLMs for practical applications like multilingual communication to better serve their diverse customer base, and streamlining medical claims.

Tech companies that are cutting jobs and leaning more on artificial intelligence are also disrupting themselves. Enter generative AI (GenAI)—a force accelerating ideation and prototyping while expanding the bounds of what’s possible. As machine intelligence blends with human instinct, GenAI is reshaping how we use execution, experimentation and empathy throughout the design process. Third, we see a strong focus on providing AI literacy training and educating the workforce on how AI works, its potentials and limitations, and best practices for ethical AI use. We are likely to have to learn (and re-learn) how to use different AI technologies for years to come.

While financial services are well regulated, consumers must ensure they are engaging only with the genuine tools provided by their bank. Seventy-seven percent of executives surveyed said their businesses need generative AI to keep up with their competitors. Investments in AI technology are expected to grow by over 300 percent between 2023 and 2025.

The study involved 1,000 insurance c-suite executives in 23 countries and 4,700 insurance customers in nine countries. Opinions among chief executives are almost evenly divided on generative AI outcomes, with 49 percent of the surveyed industry leaders seeing the technology as a risk and 51 percent considering it an opportunity. Voices is the world’s leading enterprise-class marketplace and platform to ethically source voice over actors, voice AI, and voice data to train AI models.

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The conversations at Transform 2025 showed that companies are deploying AI agents today, even if they’ve had to learn tough lessons on the way. Many have already gone through one or two big pivots since first trying out generative AI one or two years ago — so it’s good to get started early. While tech leaders like Elon Musk, Mark Zuckerberg and Sam Altman are talking about the dawn of superintelligence, enterprise practitioners are rolling up their sleeves and solving immediate business challenges. Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows – from real-time decision-making to end-to-end automation. Experience from successful projects shows it is tough to make a generative model follow instructions.

A study published last week by American think tank RAND showed 80% of AI projects fail, more than double the rate for non-AI projects. In March 2023, Goldman Sachs predicted 300 million jobs would be lost or degraded due to AI. It will continue to become an ever-more integral part of everyday life – so consumers need to be proactive to engage with this new and quickly evolving technology. And while ChatGPT can offer advice, its developer OpenAI won’t take responsibility for the recommendations it makes. If you want to use AI, it’s far better to engage the chatbot provided by your bank. That way, you can be sure you are getting information from a credible source.

IBM has a few recommendations for enterprise clients, although it is likely more interested in selling its AI and cloud solutions than anything else. World and Middle East business and financial news, Stocks, Currencies, Market Data, Research, Weather and other data. In these contexts – and many others – gen AI will do the heavy lifting, enabling people to focus on business-critical tasks and activities that require the best of human innovation, empathy and creativity. Not with a bang, but rather a ubiquitous whisper, AI technology is being integrated across the insurance industry. It can also work behind the scenes as, say, a first defence against fraud, raising potential matters to human representatives and automating certain actions to stop fraudsters.

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Meta Chief Executive Mark Zuckerberg has said that he thinks AI will be able to write code like a mid-level engineer in 2025. And Microsoft Chief Executive Satya Nadella has said that as much as 30% of the company’s code is written by AI. Economists and consultants have been trying to figure out how AI will affect engineers, lawyers, analysts and other professions. Exactly how big of a disruption AI will have on the job market is still being debated. Executives for OpenAI, the maker of popular chatbot ChatGPT, have pushed back against the prediction that a massive white-collar job bloodbath is coming.

Wong also covered politics and education for the Statesman Journal in Salem, Ore. Growing up in Southern California, she started reading The Times as a kid and took her first journalism class in middle school. She graduated from Washington and Lee University, where she studied journalism and studio art. Tech companies have announced 74,716 cuts from January to May, up 35% from the same period last year, according to a report from Challenger, Gray & Christmas, a firm that offers job search and career transition coaching. At Salesforce, a software company that helps businesses manage customer relationships, Chief Executive Marc Benioff said last week that AI is already doing 30% to 50% of the company’s work.

Take Highmark Health, the nation’s third-largest integrated health insurance and provider company. Its Chief Data Officer Richard Clarke said it is using LLMs for practical applications like multilingual communication to better serve their diverse customer base, and streamlining medical claims. Before the 2022 launch of ChatGPT — a chatbot that can generate text, images, code and more —tech companies were already using AI to curate posts, flag offensive content and power virtual assistants. But the popularity and apparent superpowers of ChatGPT set off a fierce competition among tech companies to release even more powerful generative AI tools. They’re racing ahead, spending hundreds of billions of dollars on data centers, facilities that house computing equipment such as servers used to process the trove of information needed to train and maintain AI systems.