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The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition: Bateman, Blaine, Jha, Ashish Ranjan, Johnston, Benjamin, Mathur, Ishita: 9781800209046: Amazon.com: Books

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He graduated w/Special Honors in ChE & later Cert. in Quality Mgmt. Syndicated research (silicon photonics); writes for trade press and web communities. Served Fortune 1000 and FTSE 250 companies in a variety of projects, including global market/product strategy and most recently deep analytics and forecasting. Following ten years in government research and management (Deputy Director, National Measurement Laboratory (US DoC NIST) and Chief, Chemical Engineering Division of NIST), Mr. Bateman worked at several start-ups in electronics and antennas, resulting in 100s of products and several patents. Mr. Bateman led efforts to bring design and manufacturing of telematics and in-building antennas to China and Malaysia, and was key in creating an Automotive Connectivity Unit in Laird, and led technical diligence for multiple acquisitions and creation of an Infrastructure Antenna Unit.


Thought Leaders in Artificial Intelligence: Ram Swaminathan, CEO of BUDDI.AI (Part 1)

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You have read our coverage of AthenaHealth over the years in the healthcare IT space. BUDDI.AI is taking an AI-driven approach to healthcare coding and billing. Sramana Mitra: Let's start introducing our audience to yourself as well BUDDI.AI. Ram Swaminathan: I am the co-founder and CEO of BUDDI.AI. We focus on building the next generation of artificial intelligence for healthcare. Sramana Mitra: Okay. Let's double-click down and look at the use cases and the types of customers that you are applying your capabilities to? Ram Swaminathan: We started working on the foundation of healthcare almost eight years ago. This is your healthcare data which includes medical records, benefits coverage, 837 and 835 insurance claims, and the contracts. At the foundation, you have all of the documentation that hospitals and clinics deal with on a daily basis. These documents are unstructured. This means that you need a human to interpret paragraphs and paragraphs of data to even work upon


How Are Asia's Leading Lenders Leveraging Artificial Intelligence? - Fintech Singapore

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In Asia Pacific (APAC), artificial intelligence (AI) and machine learning (ML) are increasingly being deployed in credit and risk functions for improved credit assessment, credit scoring and fraud detection. Moving forward, AI will no longer be an option for banks and financial institutions but rather a necessity, enabling them to meet rising customer expectations, tap new business opportunities, and address the rapidly evolving fraud landscape, data specialists and top finance executives said in a recent webinar. During Fintech Fireside Asia's latest panel discussion, C-level executives representing Union Bank of the Philippines, credit bureau TransUnion, lending startup Funding Societies and data solutions provider Mobilewalla discussed the state of AI adoption across APAC's financial ecosystem, delving into how predictive modeling and ML are now being used in the lending process. For Anindya Datta, Founder, CEO, Chairman, Mobilewalla, AI offers an opportunity to deliver innovative business models that can leapfrog traditional solutions and reach the unbanked, a potential that's particularly relevant in Southeast Asia considering that more than 70% of the region's adult population remain either unbanked or underbanked today. "A major part of decision making in lending is around figuring out how likely a person is going to pay back and whether they will pay back in time. Why it's so interesting In emerging markets, especially in APAC, is because the credit footprint is small [and a lot of people don't] have credit scores," Anindya said.


Insurers' Use of Artificial Intelligence: Opportunities and Challenges

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Like most financial services industries, insurance companies and regulators have in recent years increasingly utilized algorithms, machine learning and artificial intelligence in their day-to-day operations. Indeed, a 2019 study showed that more than half of property/casualty insurers and nearly forty percent of life carriers had adopted predictive analytics programs that were integrated with the companies' core systems, while another forty percent of life insurers had plans to develop such programs. Some carriers use machine learning techniques to analyze a wider array of information about their insureds and prospective insureds, including social media posts, online reviews and government filings. With these AI-assisted risk assessments, insurers may be more able to customize insurance policies to better meet an insured's needs and/or improve the insurers' ability to assess the risk of a particular applicant. Insurance companies have also begun using algorithms to detect patterns of fraudulent behavior that cannot be detected by devices such as wearable technologies alone.


Graduate Customer Success Data Analyst

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Due to continued growth, we are looking for talented individuals to join Fenergo. This is a fantastic opportunity for graduates to become valuable members of a company that is the No. 1 provider of Digital Client Lifecycle Management technologies for the global financial services sector. We are a global team of 850 professionals and have 80 clients across the world, we count 32 of the top 50 banks as clients. Career development is incredibly important to us at Fenergo as our success is based on the growth of our people. This is why we actively seek the best and the brightest to join us.


Data Scientist – Biosensor Analytics

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Biofourmis is a rapidly growing, global digital health company filled with committed, passionate professionals who care about augmenting personalized care and empowering people with complex chronic conditions to live better and healthier lives. We are pioneering an entirely new category of medicine by developing clinically validated, software-based therapeutics to provide improved outcomes for patients, smarter engagement & tracking tools for clinicians, and cost-effective solutions for payers. We are collectively devoted to a single-minded idea: powering personally predictive care. Our dynamic growth has been marked by quadrupled headcount in the last 12 months via both expansion & acquisition, yielding a global footprint with offices in Boston, Singapore, Bangalore, and Zurich. We are backed by prominent international venture capital investment & have cultivated relationships with worldwide healthcare stakeholders over the last 5 years.


How is AI helping to transform the finance industry?

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Despite digital finance being well-established way before the onset of the coronavirus pandemic, like many industries, COVID-19 has accelerated the pace of change within FinTech as the demand for online banking continues to rise. With this change comes the introduction of artificial intelligence (AI) and machine learning (ML) which have been among the key drivers of growth and sustainability for financial companies. Here, AI Magazine looks at three different ways AI can be applied within finance to harness growth and boost productivity. Fraudulent transactions cost economies a significant amount of money every single year and are a significant problem for many financial institutions globally. Not only does fraud financially impact companies but can also be damaging to a FinTech companies' reputation.


Europe Artificial Intelligence In Fintech Market Report 2022: Benefits of Improved … – PR Newswire

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PRNewswire/ — The "Europe Artificial Intelligence In Fintech Market Size, Share & Industry Trends Analysis Report By Component (Solutions and …


What is the changing nature of RegTech?

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Founded in 1991, India-headquartered HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. The company specializes in key areas, including digital, IoT, cloud, automation, cybersecurity, and analytics, amongst others. With the company increasingly having a presence in the RegTech space, how does it see the sector changing? How is RegTech changing compliance? According to Daryl Wilkinson – Senior Executive, Strategic Initiatives, Financial Services UK&I at HCL Technologies, "I think you can look at this through two lenses. First, there appears to be a consensus that the global RegTech market is expected to achieve $30bn by 2027 – so that alone is changing the compliance market –new investment is disrupting incumbent models and is changing the way regulators engage with businesses. The second lens is cost; financial services rely heavily on legacy technology – RegTech's nature is to find that niche to solve those problems at a much lower cost than the banks and insurers might otherwise do themselves."


Cryptominer detection: a Machine Learning approach – Sysdig

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Cryptominers are one of the main cloud threats today. Miner attacks are low risk, low effort, and high reward for a financially motivated attacker. Moreover, this kind of malware can pass unnoticed because, with proper evasive techniques, they may not disrupt a company's business operations. Given all the possible elusive strategies, detecting cryptominers is a complex task, but machine learning could help to develop a robust detection algorithm. However, being able to assess the model performance in a reliable way is paramount.