automation


Synechron launches AI data science accelerators for FS firms

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These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad. With this, Synechron's Global Accelerator programs now includes over 50 Accelerators for: Blockchain, AI Automation, InsurTech, RegTech, and AI Data Science and a dedicated team of over 300 employees globally.


Global Bigdata Conference

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Synthetic Minds, which aims to build safer blockchain code, today announced it has raised $5.5 million in a new round of funding. The San Francisco startup is a graduate of the most recent summer class from the Y Combinator accelerator. The money came from Khosla Ventures and Pantera Capital (a cryptocurrency-focused fund). This funding comes on the heels of investment from Y Combinator. Synthetic Minds' core technology is called program synthesis.


Synechron Launches AI Data Science Accelerators for the BFSI sector

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Synechron the global financial services consulting and technology services provider, has announced the launch of its AI Data Science Accelerators for Financial Services, Banking and Insurance (BFSI) firms. These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad.


AI sales technology trends for 2019 and beyond

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No one with any experience in enterprise IT would suggest that technology itself can boost the bottom line. Emerging AI sales technology, however, can provide a shortcut to success by delivering more leads and making more reliable predictions than sales reps can on their own. Today's sales teams rely on numerous tools to fill out the entire sales value chain, with large organizations reporting the use of 60 or more sales technologies, said Tad Travis, Gartner research director, in an October 2018 panel webinar in which analysts discussed emerging trends in sales technology. Sales force automation (SFA) handles the basics of sales execution programs, like managing accounts, deals, forecasts, sales activity recording and lead management. Then, there are components that integrate with those, such as configure, price, quote tools, master data management, marketing automation and partner relationship management tools.


Next recession to usher in wave of artificial intelligence

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The European Union needs to brace itself for the prospect of a new wave of technology and productivity resurgence in ten to fifteen years' time, spearheaded by the implementation of AI and robotics innovations. This was the message introduced by Stefan Crets, Executive Director of CSR Europe, who, opening the high-level event, said that digitisation required a new agility in the workplace and a new way of collaborating. "The future of work is determined by the actions we take today and the choices we make. What we want to do is exchange experience, pull the expertise together and find the best practices." Economist Mirko Draca, co-author of a London School of Economics (LSE) report commissioned by Huawei, entitled'The evolving role of ICT in the economy,' said that a new wave of automation had started.


4 ways CHROs and their teams can bust through the HR AI hype

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That's what the HR AI hype seems to be saying. The reality is this: Even as straight-shooting vendor reps and analysts expound on the advantages that AI brings to HR technology, a number of them caution that the idea of incorporating true AI into HR software is a long-term proposition. In fact, many professionals believe the state of AI in HR should be viewed in context. Today, they contend, machine learning and other areas of AI are primarily used for advanced data analysis and automation. In the long term, they have no doubt AI will have an enormous impact on human capital management (HCM) but predict its evolution will be both lengthy and complicated.


Success with automation and AI requires a high 'RQ'

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Companies know that a high IQ can help drive business value. But the analyst outfit Forrester Research believes that if companies are going to successfully work side by side with artificially intelligent systems, they're also going to need a high "RQ." RQ, or robotics quotient, is a measurement of how competent a company will be at automation and AI implementation. The Forrester assessment is based on three main areas: people, leadership and organizational structures. A fourth area, trust, will influence the three main categories and change depending on the type of technology being deployed.


Robotic indoor farms can grow food anywhere, anytime

ZDNet

Robots could turn a basic concept of farming on its head. What if, instead of growing crops in rows spread across many acres of land, food could be grown in vertical columns? A Cincinnati-based firm called 80 Acres Farms is testing this concept and seeking to prove that automated indoor farming can be safer and more profitable than traditional methods. Indoor farming controls environmental factors so that crops such as lettuce can be grown anywhere, anytime, making fresh food available year-round, regardless of location. A traditional farm might have three seasons, but Hamilton's new indoor farm is expected to turn over leafy greens every three weeks.


Trends in Big Data and Artificial Intelligence Data

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The major trend observed across industry and the public sector is artificial intelligence (AI)/machine learning (ML) for automation. This, in turn, plays a major part in any digital transformation journey. The trend grew out of the Bay Area, providing a customer-centric view of data and often involved using data as part of the product or service. This consumer- or customer-centric model assumes data enrichment with data from multiple sources. However, fundamentally, it divides the data into two main areas.


Collaborative Robots, Advanced Vision & AI Conference

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The next frontier for robotics is in durable goods assembly, which has seen multiple failed experiments in industrial automation to date. Now huge improvements are possible Title: The End of Fear, and How It Will Change Durable Goods Manufacturing Length of presentation: 45 minutes (including time for questions) Point 1: Even in the largest and most sophisticated manufacturers in the world, much of durable goods manufacturing is highly manual. Attempts at intensive automation in this sector have been made and have failed repeatedly over the past 40 years, most recently at Tesla Motors. In fact, full automation in final assembly tends to correlate inversely with profitability, quality and returns on investment in durable goods manufacturing. Instead, the most successful manufacturers are the ones who recognize and make use of the ingenuity of production workers.