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Banking leaders are embracing generative AI – 44% already have solutions deployed in at least one part of their businesses. But what do they see as the biggest benefits? And how much are they investing in the technology? Our study with HFS Research and 550 senior leaders, including 102 banking executives, reveals this and more. Swipe below to see the top results. #GenAI #Innovation #TechInvestment

Are you joining the world's top gathering of #AI FinTech leaders? Here are just some of the decision-makers you can meet at the AI in Financial Services Forum in London Make high-impact business connections at the most collaborative meeting of senior AI and tech execs Book your place today - www.AIFinTechForum.com #AIFinTechForum24

The future is bright for Financial Services and for those who approach their vision of AI aligned to strong adoption and change management and the path to value! Listen to our Canadian leader @chrisbarry and FinServ lead Jacqueline O'Flanagan to discuss the opportunity ahead! #aiandbusiness #financeinnovation #microsoftai

As a credit union leader, your aspirations might encompass several goals: growing your portfolio, enhancing risk assessment capabilities, adhering to ever-evolving regulatory requirements, and fostering stronger member relationships. Amidst this array of ambitions, one solution takes the spotlight – Adaptive AI. Our adaptive AI factors in your unique portfolio needs, risk appetite, and hyperlocal context for delivering powerful signals. After realizing initial gains, we keep the underwriting sharp by agile testing for the predictiveness of new data, strategies, and scorecards. So let's journey together, propelled by the potential of Adaptive AI. Let's reshape the boundaries of credit union leadership by embracing innovation, precision, and a shared commitment to excellence. #ai #credit #creditunions #cudifference #financialinclusion #memberexperience #creditrisk #creditunderwriting

AI in Banking: Scaling Beyond Pilot Tests to Strategic Transformation In the rapidly evolving domain of banking, initiating AI pilot projects is merely the first step. The true test lies in scaling these technologies to drive strategic transformation and deliver substantial value. As the 'AI Bank of the Future' begins to take shape, its success hinges on holistic integration rather than isolated innovation. Leaders in banking now look beyond the horizon of traditional change management. The advent of Generative AI is not just a technical upgrade; it's a fundamental shift requiring banks to balance cutting-edge tech with robust analytics, agile methodologies, and dynamic customer engagement strategies. The challenges are multifaceted - from cultivating a tech-empowered workforce to ensuring seamless collaboration across departments and fostering a culture that embraces continuous learning and adaptation. As we unveil this complex landscape, clarity emerges on how banks can leverage AI not just for operational efficiency, but also for creating personalized customer experiences and innovative services that redefine the essence of banking. Join us with Alex Wang for an insightful discussion where we dissect McKinsey & Company's comprehensive blueprint for the 'AI Bank of the Future.' Together, we'll navigate the nuances of this transformation, uncover the key to successful scaling, and share visionary approaches to conquering the AI frontier in banking. Embrace the paradigm shift with us. #FutureOfBanking #AIRevolution #McKinseyInsights #DigitalScaling #AIChallenges #StrategicInnovation #FinTech #BigData #Strategy

The McKinsey article referenced below states that generative AI has the potential to generate over 300 BILLION dollars annually in banking industries! While this sounds incredible, it won't just magically occur on it's own. It's going to take targeted efforts between many departments in organizations (and across the industry) to truly scale these models. As we've already been seeing in recent years, these changes will require even further collaboration between business, IT, and data professionals. #datascience #banking #artificialintelligence

'Setting up generative AI pilots is easy; scaling them to capture material value is hard.' While GenAI has the potential to revolutionize banking, scaling it up to maximize benefits is a challenge. Unlike traditional change management, GenAI requires not just leadership support but also navigating new technical complexities, increased collaboration between business and data teams, and adapting to a fast-changing environment. Banks with strong existing AI talent will have an advantage in overcoming these challenges. ✔️Live webinar that you will lean more about it https://bit.ly/3PY2HlB Reference/ Read full report https://lnkd.in/gDGj3y5f For more on AI and learning materials, please check my previous posts. Alex Wang #artificialintelligence #bigdata #technology #banking

The integration of AI across banking operations has the potential to significantly enhance the customer experience, improve operational efficiency, and reduce risk. However, it also raises important questions around data privacy, algorithmic bias, and the impact on banking jobs. Careful governance and responsible AI practices will be critical as this technology continues to transform the industry.

Achieving growth requires banks to rethink technology investments to maximize the value of data, harness the power of responsible #AI, and adapt quickly to regulatory shifts. Watch this webinar replay for actionable insights and key strategies. #TeamWDAY

Achieving growth requires banks to rethink technology investments to maximize the value of data, harness the power of responsible #AI, and adapt quickly to regulatory shifts. Watch this webinar replay for actionable insights and key strategies. #TeamWDAY