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Alphabet CEO Expects to Keep Hiring Engineers While AI Advances

Alphabet CEO Expects to Keep Hiring Engineers While AI Advances

Bloomberga day ago

Alphabet Inc. 's Sundar Pichai said his company will keep expanding its engineering ranks at least into 2026, stressing human talent remains key even as Google 's parent ramps up AI investments.
Speaking at the Bloomberg Tech conference in San Francisco, Pichai said he will continue to invest in engineering in the near future.

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What Could Future Banking Look Like If AI Takes Over?
What Could Future Banking Look Like If AI Takes Over?

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What Could Future Banking Look Like If AI Takes Over?

Alex Kreger, UX Strategist & Founder of the financial UX design agency UXDA, designs leading banking and fintech products in 39 countries. getty The imminent integration of AI into daily routines promises to dramatically reshape our lives over the next five years, propelled by advancements akin to ChatGPT, Gemini, Grok, etc. This shift is driven by the recognition that human capacities, while remarkable, cannot match the vast research and creative and analytical potential of artificial intelligence (AI). As we project into the future, it becomes clear that AI will also redefine digital banking experiences and grant individuals with financial capabilities that were once unimaginable. As a design strategist developing financial services for leading banks and fintech providers in 39 countries, I'm curious to envision how AI will overhaul the typical banking experience for everyday consumers. Although the complete adoption of AI across the financial sector has yet to unfold, it is crucial to anticipate its eventual impact. The question is no longer 'What if?' but rather 'How?'—and how best to brace ourselves for the changes that lie ahead. Banks already maintain enormous stores of customer data, but unlocking its true power demands cutting-edge technology. AI may well be the solution that helps institutions tackle customer demands with speed and accuracy. By channeling this data effectively, banks can provide individualized products at precisely the right time—an endeavor impossible for standard processes alone. The current data stockpile is merely a starting point. As digital tools evolve, financial institutions will gather much more data from smartphones, social networks, public service APIs, open banking APIs and IoT devices through 5G. This explosion of information calls for a robust, near-superhuman capacity to sift through the noise and pinpoint what truly matters—something AI might deliver within the next decade. In the coming years, the most significant AI-driven breakthroughs are likely to include: • Personalized Offers: Data-rich approach makes customized proposals more precise and simultaneously mitigates risks by matching the ideal product to the ideal customer. • Investment: By eliminating human biases, AI could evaluate a multitude of market and business variables to foresee investment success. • Security: AI could expedite verification by reducing the constant need for identity confirmations. • Financial Advisory: With the aid of big data and personal profiling, AI could illuminate each client's needs, generating in-depth forecasts and healthier financial practices. • Support: AI-powered bots could offer prompt, tailored solutions, greatly enhancing customer service. • Alternative Processing: AI-powered voice, gestures, neurotechnology, VR and AR interfaces will enable banking transactions beyond conventional channels. 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Learning By Sharing: How GenAI Can Be The Giving Tree
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Nitin Rakesh is the CEO and Managing Director of Mphasis and coauthor of the award-winning book 'Transformation in Times of Crisis.' Our world is witnessing a wave of advancements, from the emergence of automation to the implementation of artificial intelligence. For senior leaders, this acceleration presents opportunities and challenges. While striving to adopt cutting-edge technologies, they are also attempting to ensure these align with business objectives and ethical standards. One of the most transformative yet polarizing of these technologies is generative AI (GenAI). While it promises new avenues for creativity, problem-solving and efficiency, it also raises apprehensions about its impact on typical decision making processes. In this sense, GenAI remains a bit of a paradox for business leaders, as it is both a source of curiosity and a cause for concern. 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CEO of Anthropic warns against AI deregulation
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