Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 32 n° 302

Posts Tagged ‘artificial’

Parliament leads the way on first set of EU rules for Artificial Intelligence

Posted by fidest press agency su mercoledì, 21 ottobre 2020

Bruxelles. On Tuesday, MEPs adopted proposals on how the EU can best regulate Artificial Intelligence (AI) in order to boost innovation, ethical standards and trust in technology. The European Parliament is among the first institutions to put forward recommendations on what AI rules should include with regards to ethics, liability and intellectual property rights. These recommendations will pave the way for the EU to become a global leader in the development of AI. The Commission legislative proposal is expected early next year. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles and legal obligations to be followed when developing, deploying and using artificial intelligence, robotics and related technologies in the EU including software, algorithms and data. It was adopted with 559 votes in favour, 44 against, and 88 abstentions.Future laws should be made in accordance with several guiding principles, including: a human-centric and human-made AI; safety, transparency and accountability; safeguards against bias and discrimination; right to redress; social and environmental responsibility; and respect for privacy and data protection.High-risk AI technologies, such as those with self-learning capacities, should be designed to allow for human oversight at any time. If a functionality is used that would result in a serious breach of ethical principles and could be dangerous, the self-learning capacities should be disabled and full human control should be restored.The legislative initiative by Axel Voss (EPP, DE) calls for a future-oriented civil liability framework, making those operating high-risk AI strictly liable for any resulting damage. A clear legal framework would stimulate innovation by providing businesses with legal certainty, whilst protecting citizens and promoting their trust in AI technologies by deterring activities that might be dangerous.The rules should apply to physical or virtual AI activity that harms or damages life, health, physical integrity, property, or that causes significant immaterial harm if it results in “verifiable economic loss”. While high-risk AI technologies are still rare, MEPs believe that their operators should hold insurance similar to that used for motor vehicles.The legislative initiative was adopted with 626 votes in favour, 25 against, and 40 abstentions.

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Making Artificial Intelligence ethical, safe and innovative

Posted by fidest press agency su domenica, 4 ottobre 2020

MEPs approved proposals to address long-term opportunities and legal challenges posed by AI in the area of ethics, civil liability and intellectual property. The Legal Affairs Committee adopted three reports on Thursday on specific issues linked to the increased development and use of artificial intelligence systems. The Commission is expected to put forward a legislative proposal on the matter in early 2021. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles to be used when developing, deploying and using artificial intelligence, robotics and related technologies in the EU, including software, algorithms and data.MEPs adopted proposals on several guiding principles that must be taken into account by future laws including a human-centric, human-made and human-controlled AI; safety, transparency and accountability; safeguards against bias and discrimination; right to redress; social and environmental responsibility, and respect for fundamental rights. When it comes to AI with machine-learning (self-improving) capacities, it should be designed to allow for human oversight. If a functionality is used that would entail a serious breach of ethical principles and be potentially dangerous for people, the self-learning capacities should be disabled and revert to operating safely.The legislative initiative by Axel Voss (EPP, DE) calls for a future-oriented civil liability framework to be adapted, making those operating high-risk AI strictly liable if there is damage caused. This would encourage innovation by providing businesses with legal certainty, protect citizens better and enhance their trust in AI technologies by deterring risky activities. Strict liability should also apply to AI systems that have repeatedly caused damage.In this text, MEPs focused on civil liability claims against operators of AI-systems. The liability would cover protection of life, health, physical integrity, property as well as significant immaterial harm if it results in “verifiable substantial economic loss”.The report by Stéphane Séjourné (Renew Europe, FR) underlines that the key issue of protecting intellectual property rights (IPRs) in the context of artificial intelligence has so far not been addressed by the EU Commission and calls for an impact assessment on the matter.The report stresses that EU global leadership in AI requires an effective intellectual property system and safeguards for the EU’s patent system to protect developers. MEPs specify that AI should not have legal personality, thus “inventorship” should be only granted to humans. The text further addressed copyright, protection of trade secrets and the distinction between IPR for the development of AI technologies and IPR potentially granted on creations generated by AI.Technical Support Instrument adopted by Budget and Economic and Monetary Affairs committees The Technical Support Instrument will help member states to prepare their recovery and resilience plans, which are required to access funding from the Recovery and Resilience Facility.The text, adopted jointly on Thursday evening by BUDG and ECON committees MEPs, lays down the general and specific objectives of the Technical Support Instrument (TSI), the budget for the period 2021-27, the types of funding accessible through the EU and the rules for receiving such funding. The TSI should support economic recovery after and beyond the COVID-19 pandemic by promoting economic, social and territorial cohesion as well as green and digital transformation and implementation of climate targets. The reforms supported by the instrument should result in more economic resilience, a reduction in poverty, increased competitiveness and should address the country-specific recommendations adopted in the context of the European Semester. In order to meet the general objectives, the TSI will assist national authorities in preparing, implementing, revising and improving their national recovery and resilience plans. The text sets out a list of key actions to be carried out by member states, such as digitalisation of administrative structures, creating re-skilling policies for the labour market and building resilient care systems and coordinated response capabilities. The overall budget of the TSI should be EUR 1 450 000 000 in current prices, divided into two tranches, EUR 1 000 000 000 for the period 2021-2024 and EUR 450 000 000 for 2025-2027 in current prices.In order to receive technical support, a member state should submit a request to the Commission by 31 October of a calendar year, identifying the policy areas they will focus on. Member states should ensure synergies between the TSI and other EU programmes in order to avoid any duplication and overlaps.Technical support should depend on fully complying with the rules to protect the Union’s budget from generalised deficiencies as regards the rule of law in the member states, says the text. TransparencyMEPs want the Parliament to obtain from the Commission the plans followed by biannual implementation reports at the same time as the Council for the purposes of democratic accountability and visibility of European Union action. The report was adopted with 74 votes to 10 and 13 abstentions and the decision to enter inter-institutional negotiations was adopted with 75 votes to 8 and 14

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New committee on Artificial Intelligence begins its work

Posted by fidest press agency su sabato, 26 settembre 2020

On Wednesday, Parliament’s new special committee on Artificial intelligence in a Digital Age (AIDA) held its constitutive meetings and elected its chairs and vice-chairs.Committee members elected Dragoș Tudorache (Renew, RO) as Chair, by acclamation. The bureau will be composed of:First Vice-Chair: Miapetra Kumpula-Natri (S&D, FI), Second Vice-Chair: Geoffroy Didier (EPP, FR), Third Vice-Chair: Edina Tóth (EPP, HU), Fourth Vice-Chair: Birgit Sippel (S&D, DE)“The digital transformation, besides the tremendous benefits it can bring to our citizens, is also an opportunity to strengthen the European Union and to build up our strategic resilience in the face of adversity. Artificial Intelligence (AI) is at the heart of this transformation”, said Dragoș Tudorache.“My first priority will be to ensure that we build and support AI that works for the wellbeing of our citizens. This means, on the one hand, respecting their rights and eliminating biases and discrimination, and it means, on the other hand, ensuring business and industry thrive and generate economic prosperity. We also have an opportunity in AIDA to look at AI diplomacy and at how we can support a European approach to AI on the world scene, alongside likeminded partners who share our values. Last but not least, AIDA plans to look beyond regulation, working on a medium- and long-term strategic plan for AI in Europe”, he added.The Special Committee on Artificial Intelligence in a Digital Age is composed of 33 members. It is mandated to analyse the future impact of artificial intelligence in the digital age on the EU economy, in particular on skills, employment, financial technology, education, health, transport, tourism, agriculture, the environment, defence, industry, energy and e-government. The Committee will hold its first working meeting during the week of 26-30 October.

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COVID-19: Data and Artificial Intelligence can help ease lockdowns

Posted by fidest press agency su mercoledì, 15 aprile 2020

Industry, Research and Energy Committee (ITRE) Chair Cristian Bușoi reacted on Thursday to the Commission recommendation to support lockdown exit strategies through mobile data and apps.
“As soon as the epidemic wave will be behind us, we’ll need to move away from the logic of containments. But easing the lockdowns and getting back to normal will be a huge technical and organisational challenge as the virus will still be among us. We are in favour of making use of the possibilities offered by mobile and data applications, and we support the approach proposed by the Commission” said ITRE Chair Cristian Bușoi (EPP, RO).“In order to overcome this unprecedented crisis, we must test new solutions and make use of innovation and research. Various methods have been used by some countries, with contrasting results. We need to look at what has already been tried, and work according to our principles. We also need to make sure that European citizens are on board. The problem to be solved is to find an effective and efficient way of understanding how the virus spreads and being able to deploy strategies adapted to the different territories” he said.The European Commission proposes a common approach for modelling and predicting the evolution of the virus through anonymised and aggregated mobile location data. “Such use of data must of course take place at European level, because that is where the data will have the critical mass to be effective. We will therefore be vigilant concerning user consent and data protection. We welcome the fact that the European Commission is closely working with the European Data Protection Board” he added.

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Artificial intelligence: MEPs want to ensure a fair and safe use for consumers

Posted by fidest press agency su venerdì, 14 febbraio 2020

The resolution addresses several challenges arising from the rapid development of artificial intelligence (AI) and automated decision-making (ADM) technologies, with a special focus on consumer protection.Parliament welcomes the potential of ADM to deliver innovative and improved services to consumers, including new digital services such as virtual assistants and chatbots. However, when interacting with a system that automates decision-making, one should be “properly informed about how it functions, about how to reach a human with decision-making powers, and about how the system’s decisions can be checked and corrected”, it adds.Those systems should only use high-quality and unbiased data sets and “explainable and unbiased algorithms”, states the resolution. Review structures should be set up to remedy possible mistakes in automated decisions. It should also be possible for consumers to seek redress for automated decisions that are final and permanent. “Humans must always be ultimately responsible for, and able to overrule, decisions that are taken in the context of professional services such as the medical, legal and accounting professions, and for the banking sector”, MEPs underline.Parliament calls for a risk-assessment scheme for AI and ADM and for a common EU approach to help secure the benefits of those processes and mitigate the risks across the EU. MEPs urge the Commission to table proposals adapting the EU’s safety rules for products (e.g. directives on machinery and toy safety) to ensure that consumers are informed about how to use those products and are protected from harm, while manufacturers should be clear on their obligations.The Product Liability Directive, adopted over 30 years ago, would also need to be revised to adapt concepts such as ‘product’, damage’, ‘defect’ and rules governing the burden of proof, says Parliament.
Under EU law, traders must inform consumers when the price of goods or services has been personalised on the basis of ADM and profiling of consumer behaviour, MEPs recall, asking the Commission to closely monitor the implementation of those rules. The EU must also ensure that ADM is not unduly being used to discriminate against consumers based on their nationality, place of residence or temporary location.The resolution, approved by a show of hands, will be transmitted to the EU Council (member states) and the Commission, so that they take into account MEPs’ views on AI and ADM. The Commission announced that it is due to present its plans for a European approach to AI on 19 February 2020.

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Almirall and Iktos announce research collaboration in Artificial Intelligence for new drug design

Posted by fidest press agency su domenica, 15 dicembre 2019

Almirall, S.A. (ALM), a leading skin-health focused global pharmaceutical company, and Iktos, a company specialized in Artificial Intelligence for novel drug design, today announced a collaboration agreement in Artificial Intelligence (AI) , where Iktos generative modelling AI technology will be used to design novel optimized compounds, to speed up the identification of promising drug candidates for an undisclosed Almirall drug discovery program(s).Iktos’ AI technology, based on deep generative models, helps bring speed and efficiency to the drug discovery process, by automatically designing virtual novel molecules that have the desirable characteristics of a novel drug candidate. This tackles one of the key challenges in drug design: rapid and iterative identification of molecules which simultaneously validate multiple bioactive attributes and drug-like criteria for clinical testing.Iktos has recently announced several collaborations with biopharmaceutical companies where Iktos AI technology is used to accelerate the design of promising compounds, and has published, at the EFMC 2018 meeting, an experimental validation of the technology in a real-life drug discovery project. Iktos generative modelling SaaS software, Makya™, is now available on the market, and Iktos intends to release its retro-synthesis SaaS platform Spaya™ as a beta version, before the end of 2019.

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Debuts World’s First Arabic Medical Artificial Intelligence

Posted by fidest press agency su giovedì, 14 novembre 2019

Nala, Saudi Arabia’s leading digital health service, announced the launch of its artificial intelligence platform that enables instant medical diagnosis in Arabic. The platform will provide users with an accurate medical diagnosis within seconds. To further its growth, Nala has raised $1m in its first financing round. Nala’s new platform will be an addition to Nala’s current digital health service, which provides users with instant access to personalized healthcare through a mobile app. Over 50,000 people have used Nala, a number that is growing exponentially. Dozens of licensed doctors have helped in the development of the new platform. With this new technology, patients can now receive instant medical diagnoses with an extreme precision that alleviates human error. It is currently available through Nala’s mobile app.
Nala is a Saudi-based corporation established as one of the private enterprises to solve the challenges of Vision 2030. Since its launch in February, it has quickly become the region’s leading digital health service. Featured multiple times by the minister of communication and information technology, and the winner of numerous awards, Nala’s app is consistently ranking first in app stores.To strengthen Nala’s growth, The company has raised $1m in its first financing round. AlAraby Investment, which led the funding, is a Dubai-based investment group that invests in high-growth companies. With the funding, Nala will continue to grow its user base, further strengthening its position as the region’s top digital health service. Othman Abahussein, founder and CEO of Nala, commented: “Our mission is to reduce the cost of healthcare by a tenfold while providing exceptional healthcare experience.” He continued: “Our whole team is in Riyadh, and all of our human capital investments go into local talent. We made a bet on local talent, and I can say with full confidence that it pays very well.”

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VSE and Bidgely Pioneer Artificial Intelligence Solutions for Slovakian Customers

Posted by fidest press agency su giovedì, 12 settembre 2019

Bidgely and Slovakia’s leading utility Východoslovenská energetika a.s. (VSE) have introduced an AI-powered customer engagement and energy efficiency offering that delivers a simplified and more transparent energy experience to VSE customers. The comprehensive UtilityAI services delivered through email, web, VSE call center and field energy advisors are creating new value from customers’ recently-installed smart meters and helping to ensure customers benefit from VSE’s variety of energy efficiency products and services. The initial pilot showed very high customer satisfaction with the services, with 97 percent of customers wanting them to continue and 95 percent finding them useful.
“VSE works to be a utility that offers far more than energy to our customers. Our extensive and well-established products and services marketplace and in-home energy consulting helps to support our customers’ energy goals,” said Miroslav Kulla, chief executive officer of VSE. “Integrating AI technology into our services creates an even more personalised experience for our customers – pinpointing specific opportunities for increased efficiency in their home and uniting the customer experience across each interaction with us.” VSE, part of RWE Group, provides electricity and gas to approximately 500,000 customers in Slovakia. The utility tapped Bidgely’s patented disaggregation technology for both smart and non-smart meters to create an integrated, omni-channel experience for their customer base. Emails with itemised energy usage by appliance creates awareness about consumption in the home. A web platform provides further insights for customers as well as an opportunity to complete their home profile for deeper personalisation. The VSE call center can then schedule a field agent for an in-home visit where highly-relevant products and services can be recommended. With the AI integration, all teams within the utility know which interactions have taken place and what results have been achieved with each individual customer.

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The World Artificial Intelligence Conference 2019 Opened Grandly in Shanghai

Posted by fidest press agency su martedì, 3 settembre 2019

The World Artificial Intelligence Conference 2019 (WAIC 2019) opened grandly in Shanghai on August 29. With the theme of “Intelligent Connectivity, Infinite Possibilities”, it gathers the world top minds for the highest-level AI academic discussion.Government officials and most influential AI scientists, entrepreneurs and investors across the world witnessed the grand opening of WAIC 2019.The most eye-catching dialogue between Jack Ma and Elon Musk talked about the impact of AI on human life, employment, life, consciousness and environment and inspired people’s imagination on the future AI world, marking the climax of the opening ceremony.
There are dozens of key sessions where industry leaders will focus on frontline algorithms, brain-inspired intelligence and AI chips and share latest research results and practice of key technologies; focus on autonomous driving, AI+5G and smart robots and analyze AI industry trends.
In addition to the knowledge feast, you don’t want to miss the world best AI innovation and application exhibition at Shanghai World Expo Exhibition & Convention Center (SWEECC).With an exhibition area of 15,000m2, the exhibition attracted ~300 exhibitors, 50% more than last year. Besides industry leaders like Alibaba, Tencent, Huawei, Microsoft and Amazon, AI ecosystem companies like Tesla, IBM, ABB, Ping An Group and State Grid demonstrated AI applications in different industries.

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Indian Artificial Intelligence

Posted by fidest press agency su martedì, 20 agosto 2019

The “India Artificial Intelligence (AI) Market: Prospects, Trends Analysis, Market Size and Forecasts up to 2024” report has been added to ResearchAndMarkets.com’s offering.
The country research report on India artificial intelligence (AI) market is a customer intelligence and competitive study of the India market. Moreover, the report provides deep insights into demand forecasts, market trends, and, micro and macro indicators in the India market. Also, factors that are driving and restraining the artificial intelligence (AI) market are highlighted in the study.This is an in-depth business intelligence report based on qualitative and quantitative parameters of the market. Additionally, this report provides readers with market insights and detailed analysis of market segments to possible micro levels. The companies and dealers/distributors profiled in the report include manufacturers & suppliers of artificial intelligence (AI) market in India.

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Punchh Launches Deep Learning and Artificial Intelligence

Posted by fidest press agency su domenica, 19 maggio 2019

Punchh, the leader in digital marketing solutions for physical retailers, today announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh’s natural language comprehension engine built with industry-leading deep learning and artificial intelligence.Punchh Deep Sentiment Analysis integrates seamlessly with the Punchh Marketing Cloud, offering real-time descriptive and predictive analytics in a user-friendly dashboard with one-click navigation. Its natural language processing model achieves human-level performance, defined as more than 93 percent accurate, and features multi-language support.
Punchh is the world leader in innovative digital marketing products for physical retailers, combining AI and machine learning technologies, mobile-first expertise, and omnichannel communications designed to dramatically increase lifetime customer value. Punchh offers partners access to real-time consumer information via a live dashboard, enabling them to create and launch campaigns, target specific user segments and review guest feedback. Marketers can connect with customers across any channel through loyalty, offers, ordering, payments, feedback, surveys, gift cards, games and more. More than 160 global enterprise brands rely on Punchh to grow revenue by building customer relationships at every stage, from anonymous to loyalist.

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New Artificial Intelligence Pipe Welding System Launching at OTC 2019

Posted by fidest press agency su giovedì, 2 maggio 2019

The toughest welds to make are full penetration, single sided, V butt, pipe welds. Historically, ARC Specialties, a Houston-based developer of welding solutions, declined these jobs because joint fit-up was never repeatable. “Only human welders with a ‘golden arm’ able to compensate for variation in root openings, weld center lines, and groove volumes could handle this challenge,” says Dan Allford, President of ARC Specialties. “With the industry facing labor shortages, we decided to develop an intelligent machine with complete knowledge of pipe welding, with full motion and welding control.” The Artificial Intelligence Pipe Welding System (AIPW) incorporates the 6-axis UR5 collaborative robot arm from Universal Robots to carry out the challenging welds. “The UR5 now becomes our ‘golden arm’,” says Allford. “The UR5 is small enough to be portable yet still allows full freedom of motion for both the laser scanner and welding torch. Being collaborative the robot is able to safely work in close proximity to humans.” The AIPW officially launches at ARC Specialties’ booth 705 at the Offshore Technology Conference held in Houston, TX, May 6-9. Stuart Shepherd, Regional Sales Director of Universal Robots’ Americas division, is delighted to see the UR5 power ARC’s AIPW system. “This implementation underscores our collaborative robots’ ability to handle heavy-duty processing tasks that demand both high precision and real-time adaptability,” he says. “We’re excited to share this solution with the oil and gas industry.” The AIPW pre-scans the root opening (gap) using a 2D laser, then uses the data to generate the robot path and welding parameters. Gap variations are compensated for with changes in oscillation, torch position, travel speed and welding conditions. The UR5 positions the torch over a tack weld to start the arc to insure 100% root weld acceptance. Fill and cap pass programs are optimized to fill the groove using user selectable weave or stringer bead welding techniques. The AIPW uses the Miller Auto Continuum welding power supply to weld the root with Regulated Metal Deposition (RMD), then switches to pulsed spray for the fill and cap passes. This combination of Gas Metal Arc Welding techniques maximizes welding productivity while producing X-Ray quality, full penetration pipe welds.The AIPW follows two other successful welding solutions featuring Universal Robots developed by ARC Specialties; the MIG welding SnapWeld and the plasma cutting SnapCut. SnapWeld just became the first product ever to win New Equipment Digest’s Innovation Award two years in a row.

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Published a case study about Evisort, an Artificial Intelligence

Posted by fidest press agency su domenica, 2 dicembre 2018

Columbia Business School data scientist Professor Daniel Guetta, Director of the Business Analytics Initiative at Columbia Business School and Columbia Engineering, has published a case study about Evisort, an Artificial Intelligence (AI)-enhanced document management and data analytics solution for contracts developed by Harvard Law and MIT researchers. Guetta begins teaching the Evisort case study today in a new Business Analytics MBA class, the latest in Columbia’s growing data- and analytics-focused offerings for MBAs. The case study, entitled: “Evisort: An A.I.-Powered Start-up Uses Text Mining to Become Google for Contracts,” will be joined by a technical case study counterpart in the near future.
Guetta describes Evisort as a compelling, versatile solution for AI-driven contract data mining, with strong core utility for lawyers. He notes that, in addition to their significant usefulness for attorneys, contract analytics also have vast mainstream potential to assist a wide range of corporate professionals in finance and operations. Guetta also acknowledged that artificial intelligence techniques such as those used by Evisort could also be used to harvest data from many types of business documents in addition to contracts.“Contracts are the scaffolding of the modern company,” says Guetta. “Every department and process within an organization is ruled by contracts including legal, employment, supply chain, pricing, inventory, and more. Extracting data from contracts is not only of paramount importance to lawyers in an organization, but it also has a much more enterprise-wide, holistic reach with infinite applications.”
Guetta continues, “Extending far beyond legal tech and contracts, contract-focused business intelligence solutions can form the basis of hundred-million-dollar savings for corporations because contracts contain so much essential corporate data. Text mining drastically reduces the need for manual data searching, reporting and human reading of contracts except in the most complex cases. Evisort is particularly impressive because it demonstrates both the power and limits of AI. Even when human review is necessary, Evisort provides a suite of non-AI-enhanced tools to go the last mile if needed and reduce review time significantly.”Evisort CEO Jerry Ting and COO Jake Sussman were Harvard Law School students when they co-founded the company in 2016 with CTO Amine Anoun, then a graduate MIT student. All three men have since graduated and are now full-time executives at Evisort. Evisort is backed by leading venture capitalists including Amity Ventures and Village Global which has investors like Jeff Bezos, Mark Zuckerberg, and Bill Gates.Ting explains, “You can break down a company into its entire value chain by looking at its contracts…a business intelligence platform centered around contracts can become a business intelligence platform for the whole company, from operations, to supply chain, to advertising. Evisort has unlimited potential for corporations and law firms to mine any type of data.”
Guetta’s Business Analytics class at Columbia Business School introduces MBAs to advanced topics in artificial intelligence. This class is the latest in a series of data- and analytics-focused classes at the business school, including classes on databases, Python, R, and applied data science. The Columbia Evisort case study is now available on the Columbia Caseworks website here.

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