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Wells Fargo CIO: AI and machine learning will move financial services industry forward

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. It's simple: In financial services, customer data offers the most relevant services and advice. But, oftentimes, people use different financial institutions based on their needs – their mortgage with one; their credit card with another; their investments, savings and checking accounts with yet another. And in the financial industry more so than others, institutions are notoriously siloed. Largely because the industry is so competitive and highly regulated, there hasn't been much incentive for institutions to share data, collaborate or cooperate in an ecosystem. Customer data is deterministic (that is, relying on first-person sources), so with customers "living across multiple parties," financial institutions aren't able to form a precise picture of their needs, said Chintan Mehta, CIO and head of digital technology and innovation at Wells Fargo.


AI and machine learning in marketing: Are you deploying the right models?

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Now that consumers expect speed and hyper-personalization in all things, marketers have to find innovative ways to meet demands and maximize their budgets. To do this, marketers are turning to artificial intelligence and machine learning. In fact, there is a new term just for this – "AI Marketing." Customer expectations have never been higher. Amazon, Netflix and Google have set the standard for what customers have come to expect from technology and marketing.


This data scientist wants to address human issues around AI

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Data scientist Oisín Boydell is working on a project that seeks to democratise access to an ever-increasing volume of Earth observation data. Dr Oisín Boydell is principal data scientist and head of the applied research group at CeADAR, the SFI-funded centre for applied AI at University College Dublin (UCD). His primary research interests include trustworthy AI, deep learning, natural language processing and applications of AI to Earth observation data. After working as a software developer in the UK, Boydell returned to UCD to undertake a PhD in computer science, researching novel approaches for personalised information retrieval. Prior to joining CeADAR he worked with SMEs and multinationals on big data analytics and machine learning solutions for the telecommunications industry.


Daily AI Roundup: Biggest Machine Learning, Robotic Automation Updates

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Peltarion is a Swedish artificial intelligence (AI) software company and developer of a no-code, machine learning operations platform that empowers users to design, train and manage deep learning models in the Cloud at scale and at speed. King's acquisition of Peltarion will accelerate the current use of AI and machine learning technology in King's game platform, a key area of ongoing strategic direction for the company. With this investment, King aims to continue to build top-tier AI and machine learning capabilities and teams – enabling a new generation of innovative game design, development and live operations capabilities and becoming a hub for the world's top talent in game AI. Veritone, Inc., creator of aiWARE, a hyper-expansive enterprise AI platform, announced its sponsorship of the Snowflake Summit 2022, a flagship event running June 13 to 16 in Las Vegas that focuses on the "World of Data Collaboration." Zyxel Networks, a leader in delivering secure, AI- and cloud-powered business and home networking solutions, announced a family of WiFi 6E access points (APs) that enable businesses to enjoy the performance benefits provided through use of the newly-opened 6GHz WiFi spectrum.


Leveraging the power of AI and machine learning for more resilient data centers - ET CIO

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By Sachin Bhalla According to Market Research Company Technavio, the global data center market size is poised to grow by $304.87 million between 2020 and 2024. It will grow at an even faster pace in the Asia-Pacific region. An S&P study reveals that between 2017 and 2022, the Asia-Pacific region would reach an estimated 10% CAGR compared to the global data center industry that is expected to clock a 7% CAGR. The data center industry is undergoing changes to serve the needs in today's business landscape. It comes to no surprise when we hear organisations discuss their plans to enhance their data center infrastructure with technologies like Artificial Intelligence (AI) and focus on automation to improve uptime while controlling costs--all of which are important for companies to drive operational efficiency and business resiliency.


From weeks to hours: How AI slashes the time to optimize in the cloud

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More companies than ever have migrated to the cloud, stemming from the pandemic-led uptick in cloud adoption as companies pivoted to remain relevant and competitive in their markets, to the urgent need to leverage new technologies, new ways of adding value for customers, and new revenue-generating streams. And that's where too many organizations have simply stopped. "Cloud is not a one-and-done type of move," says Jonny James, senior technical product manager at Cloudreach. "People often think that if you just take that first step, then you'll be able to realize all those great benefits that you get sold on -- better performance, lower cost, better agility, hyper scalability and so on. But you need to do continuous follow-on work from there."


Fintech partners: Nav and Marcus to offer 'smarter' lines of credit to small businesses

ZDNet

In its mission "to reduce the death rate of small businesses," fintech services provider Nav Technologies is partnering with Marcus by Goldman Sachs to provide small business owners "financially smart" lines of credit with fixed rates, no origination or maintenance fees, and a wholly digital experience. These coveted cards are loaded with perks you wouldn't expect. Through this launch, Nav, which incorporates an AI and machine learning platform to present small business owners with curated financing options, said it's "expanding its commitment to providing the tools that will make financing simple for entrepreneurs and business owners," according to the company's announcement. Small businesses throughout the US continue to experience unrelenting adversity as continuous supply chain backlogs, rising interest and double-digit-flirting inflation rates are forcing many small business owners to decide -- on a day-by-day basis -- if they will continue to stay in business. Access to funding -- not merely a fixed amount of cash, but the right financing to meet specific business needs -- isn't an option for countless many small businesses.


Interesting Ways AI Impacts Software Development and Testing – QA Valley

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Artificial intelligence is transforming modern business and the modern way of life. Along with machine learning and continuous human support, artificial intelligence is seeing vast adoption rates across entire industries and sectors. Software development and software testing are definitely two of the best examples of AI application as well as the use of machine learning and deep learning systems to achieve short, mid, and long-term goals. Software developers and dev agencies can nowadays lean on AI and machine learning to streamline their processes and ensure better output and performance. Let's take a closer look at some of the most interesting ways software developers can leverage AI and complementary technologies like machine learning to enhance software development and testing.


Smarter health: How AI is transforming health care

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This is the first episode in our series Smarter health. American health care is complex. In the first episode in our series Smarter health, we explore the potential of AI in health care -- from predicting patient risk, to diagnostics, to just helping physicians make better decisions. Today, On Point: We consider whether AI's potential can be realized in our financially-motivated health care system. Welcome to an On Point special series: Smarter health: Artificial intelligence and the future of American health care. In the not so distant future, artificial intelligence and machine learning technologies could transform the health care you receive, whether you're aware of it or not. Here are just a couple of examples. Dr. Vindell Washington is chief clinical officer at Verily Life Sciences, which is owned by Google's parent company, Alphabet. Washington oversees the development of Onduo. Technology that weaves together multiple streams of complex, daily medical data in order to guide and personalize health care decisions across entire patient populations. VINDELL WASHINGTON [Tape]: You might have a blood pressure cuff reading, you may have a blood sugar reading, you may have some logging that you've done.


AI and machine learning are improving weather forecasts, but they won't replace human experts

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A century ago, English mathematician Lewis Fry Richardson proposed a startling idea for that time: constructing a systematic process based on math for predicting the weather. In his 1922 book, "Weather Prediction By Numerical Process," Richardson tried to write an equation that he could use to solve the dynamics of the atmosphere based on hand calculations. It didn't work because not enough was known about the science of the atmosphere at that time. "Perhaps some day in the dim future it will be possible to advance the computations faster than the weather advances and at a cost less than the saving to mankind due to the information gained. But that is a dream," Richardson concluded.