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 data and insight


5 Key Technology Trends Changing Banking's Competitive Balance

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The banking industry has undergone significant changes that have fundamentally altered the competitive battlefield. With a focus on improving efficiencies, finding new revenue opportunities and improving the customer experience, five megatrends have arisen to impact banking in tectonic ways. They all are components of the digital banking transformation process – some being revolutionary while others are evolutions of trends already in process. In this webinar from MeridianLink, you'll learn how to deliver a world-class, omnichannel digital banking experience that's fast, responsive and frictionless. Read More about Is Your Credit Union Addressing the Digital Imperative?


Our ChatGPT Interview Shows AI Future in Banking Is Scary-Good

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The topic of how artificial intelligence can transform banking continues to get a massive amount of attention. With data in abundance, and the need to improve efficiency and create better customer experiences, every new evolution of AI creates opportunities, while also raising questions around privacy, biases, the impact on the human workforce, and changes in existing business models. One of the most talked about advances in the deployment of AI occurred on November 30, when OpenAI released ChatGPT, deemed "the most advanced, user-friendly chatbot to enter the public domain." ChatGPT can create high-level content, respond to customer inquiries, assist with research, and provide perspectives on current trends. OpenAI, a nonprofit company, was founded in 2015 by Sam Altman, Elon Musk and other Silicon Valley investors.


Our ChatGPT Interview Shows AI Future in Banking Is Scary-Good

#artificialintelligence

The topic of how artificial intelligence can transform banking continues to get a massive amount of attention. With data in abundance, and the need to improve efficiency and create better customer experiences, every new evolution of AI creates opportunities, while also raising questions around privacy, biases, the impact on the human workforce, and changes in existing business models. One of the most talked about advances in the deployment of AI occurred on November 30, when OpenAI released ChatGPT, deemed "the most advanced, user-friendly chatbot to enter the public domain." ChatGPT can create high-level content, respond to customer inquiries, assist with research, and provide perspectives on current trends. OpenAI, a nonprofit company, was founded in 2015 by Sam Altman, Elon Musk and other Silicon Valley investors.


Intel VP talks AI strategy as company takes on Nvidia

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Intel is on an artificial intelligence (AI) mission that it considers very, very possible. The company is the world's largest semiconductor chip manufacturer by revenue, and is best known for its CPU market dominance, with its familiar "Intel inside" campaign -- reminding us all what resided inside our personal computers. However, in an age when AI chips are all the rage, the company finds itself chasing competitors, most notably Nvidia, which has a massive head start in AI processing with its GPUs.


Five AI mistakes and how to avoid them in your organisation

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You need to collect the right data, find the right tools for your organisation, and team members need to be trained on how to build and optimise the AI models. However, even if you have found the right AI for your business and it's been onboarded well, there's still the risk that you will not be getting what you want or need from it. If an AI mistake is made, it has varying levels of severity. For example, AI that predicts real estate prices (similar to Zillow's recent issues) but isn't set up properly can result in over or under-evaluations. AI that is used to predict cryptocurrency trading trends, but doesn't get retrained on new data could lead to missed opportunities. However, for a business that is looking to adopt AI to improve processes and make them more efficient, even the smallest mistake can result in lost productivity, money, or reputation.


Alation Acquires Artificial Intelligence Vendor Lyngo Analytics

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WIRE)--Alation Inc., the leader in enterprise data intelligence solutions, today announced the acquisition of Lyngo Analytics, a Los Altos, Calif.-based data insights company. The acquisition will elevate the business user experience within the data catalog, scale data intelligence, and help organizations drive data culture. Lyngo Analytics CEO and co-founder Jennifer Wu and CTO and co-founder Joachim Rahmfeld will join the company. Lyngo Analytics uses a natural language interface to empower users to discover data and insights by asking questions using simple, familiar business terms. Alation offers the most intelligent and user-friendly machine-learning data catalog on the market.


AI, the future of work and how to improve the safety and security of the workforce

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In less than two years, the workplace has evolved quickly. Our personal space inside our homes has transformed into a makeshift office, while corporate buildings are vacant and underutilised. As vaccines continue to roll out, a hybrid work model has emerged, with staff now alternating and'taking turns' being back in the office. In the US, research done by SHRM.org highlights that 55% of the workforce favours a hybrid workforce post-pandemic. In the UK, a survey by PWC found 77% of UK employees want a mix of face-to-face and remote working.


Building an Intelligent Bank is No Longer Optional

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The pandemic highlighted the need for digital banking transformation more than ever, as transactions moved out of branches, work was conducted remotely, and customers expected increasingly personalized experiences. In the past, financial institutions were able to gain a competitive advantage with broader distribution footprints and better pricing. Today, leading banks and credit unions differentiate by leveraging data, artificial intelligence (AI), applied analytics, and the power of cloud computing to innovate and deliver personalized engagements in real time. This more intelligent way of applying technology allows financial institutions to learn and react to changes in the marketplace or in the behavior of customers in a manner that can benefit both the financial organization and the customer. Combined with the potential of Fifth Generation (5G) cellular, the result is an enhanced customer experience that provides a competitive advantage far greater than geographic location, transforming the financial services industry.


Building an Intelligent Bank is No Longer Optional

#artificialintelligence

The pandemic highlighted the need for digital banking transformation more than ever, as transactions moved out of branches, work was conducted remotely, and customers expected increasingly personalized experiences. In the past, financial institutions were able to gain a competitive advantage with broader distribution footprints and better pricing. Today, leading banks and credit unions differentiate by leveraging data, artificial intelligence (AI), applied analytics, and the power of cloud computing to innovate and deliver personalized engagements in real time. This more intelligent way of applying technology allows financial institutions to learn and react to changes in the marketplace or in the behavior of customers in a manner that can benefit both the financial organization and the customer. Combined with the potential of Fifth Generation (5G) cellular, the result is an enhanced customer experience that provides a competitive advantage far greater than geographic location, transforming the financial services industry.


Vice President, Data & Insight Products

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ReFED is a national nonprofit working to end food loss and waste across the food system by advancing data-driven solutions to the problem. ReFED leverages data and insights to highlight supply chain inefficiencies and economic opportunities; mobilizes and connects supporters to take targeted action; and catalyzes capital to spur innovation and scale high-impact initiatives. Starting with the 2016 Roadmap to Reduce U.S. Food Waste, ReFED has developed a trusted history of producing first-of-their-kind tools and resources, providing a full-supply-chain picture of U.S. food waste, cost-effective solutions to reduce it, and methods to track progress. In February 2021, ReFED launched its new Roadmap to 2030 and Insights Engine, an online data center designed to serve as the next generation of data, insights, and guidance on U.S. food waste reduction. Solving this problem will have a significant impact on mitigating climate change, optimizing use of water, land, and other resources, and providing meals for the over 50 million people in the United States who currently face food insecurity.