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Artificial Intelligence

Intelligent process Automation Market Size is Expanding at USD 51.26 Bn by 2032

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Ottawa, May 25, 2023 (GLOBE NEWSWIRE) — According to Precedence Research, the global intelligent process automation market size will reach USD 39.52 billion in 2030. The use of artificial intelligence and technologies like machine learning, cognitive automation, and computer vision with robotic process automation is part of the development of the concept of intelligent process automation. These solutions assist companies in streamlining their processes by getting rid of routine, repetitive, and repeated tasks. This enhances response times and reduces process-related operational risk. It is widely used in IT operations, application and content management, security, and business process automation. Digital process automation (DPA), robotic process automation (RPA), and artificial intelligence are the main technologies that go into intelligent process automation (AI).

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Intelligent process automation has several advantages, such as effective governance and risk minimization, coordination of work across robots, humans, and systems, end-to-end process visibility and customer journey visibility, agility and speed of process modification, and increased market acceptance.

In order to keep their business profitable, organizations all around the world are embracing Intelligent Process Automation. A number of business advantages are provided by intelligent process automation, including the organization of humans and robots, the automation of tedious and scheduled tasks, the assurance of sound management and the reduction of risk, the measurement of permeability across the entire client journey, and business sprightliness and accelerating the rapidly changing business measures. Organizations can increase their efficiency by identifying, modeling, surveying, assessing, improving, advancing, overseeing, and computerizing various organizational procedures.

Key Insights:

  • Europe region has registered 33% market share in 2022.
  • By Vertical, the BFSI segment has captured 36% market share in 2022.
  • By Technology, the machine learning segment has held 40% market share in 2022.
  • By Offering, the solution segment has held largest market share in 2022.
  • By Organization Size, the SMEs has held largest market share in 2022.
  • By Application, the IT operations segment has held largest market share in 2022.
  • By Deployment Mode, the on-premises segment has held largest market share in 2022.

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Scope of the report

Coverage Details
Market Size in 2030 USD 39.52 Billion
CAGR 13.89% from 2023 to 2032
North America Market Share 41%  
Asia Pacific Market Share 18%  
LAMEA 8%  
Key Players Wipro, Capgemini, Cognizant, Syntel, Tech Mahindra, Infosys, Accenture, HCL Technologies, Tata Consultancy Services, Xerox Corporation, Genpact and Others

Regional Snapshots

The market is currently dominated by North America. This is a result of increased cellphone penetration and widespread use of artificial intelligence in the area. Due to the rapid rise in demand for automated processes and cloud-based technologies, together with rising investment in the IT industry, the intelligent process automation market in Asia-Pacific is anticipated to grow at the fastest rate during the forecast period. The development of digital economy in emerging nations will also fuel this region’s prosperity. With the growing need for process automation in nations like Germany and Italy, which are known for their industrial centers, the European market is anticipated to maintain its dominance and open up new potential opportunities. Process automation is anticipated to be accelerated by the issues of high labor costs and a lack of sufficient skilled workers.

On the strength of the establishment of manufacturing facilities by certain global companies and stimulated Foreign Direct Investments in rising countries like India, the Asia-Pacific market is anticipated to attain new development avenues over the scheduled course of time.

Market dynamics

Drivers

The market for intelligent process automation is expanding significantly as a result of the rising need for automated IT solutions. In addition, a major driver of the market’s development is the rising use of resource optimizations such intelligent automation in reaction to a decline in human interaction. Additionally, a favorable effect element on market growth was imposed as digitalization investment increased. The market’s expansion is, however, being hampered by worries about the prohibitive implementation costs and legal compliance requirements.

The growth of the intelligent process automation market is driven by the accelerated acceptance rate of automation processes to transform over work environments efficiency. The advancement in the choice of computerization programming has also stimulated the growth of the intelligent process automation market due to the advanced transformation, the increase in speculation by company visionaries, and the ability to make speedier business decisions.

Restraints

IPA systems require continuous upkeep and defense against cyberattacks. Companies must invest significantly in the installation of sophisticated security systems as well as ongoing maintenance. Additionally, a newly automated operational model needs competent personnel to run, but it’s critical to find people with RPA and AI experience. This includes technical competence, knowledge of the organization’s commercial practices, and the capacity to modify management strategies. Equally important to employing or upskilling employees to implement automation is allocating people to continual maintenance, support, and troubleshooting. For small and medium-sized firms, the total cost is extremely expensive and includes maintenance, cybersecurity charges, recruiting fees, and training expenses. Therefore, these expenses create a barrier to IPA market expansion in the smaller industries.

Opportunities

The market for intelligent process automation is expanding as workplace productivity is increasingly being converted by automation procedures. Additionally, the advancement in the usage of automation software has contributed to the expansion of the intelligence process automation market. These factors include the digital revolution, the rise in entrepreneur investment, and the capacity to make business choices more quickly. Additionally, the rise is being fueled by the telecommunications, healthcare, and IT industries’ growing embrace of process automation. During the projection period, it is also projected that the creation of a unified intelligent automation tool, rising R&D advances, and the growth of digital workforces would present significant potential in the process automation market.

Additionally, the use of intelligent process automation in the banking sector has significantly increased recently. In the stage of intelligent process automation, firms must provide data to customers, but manual processes, such processing insurance claims or automating customer requests, take a significant amount of time. As a result, adopting intelligent process automation helped businesses run more efficiently. For instance, one of the biggest banking groups in Latin America, Bancolombia, uses bizagi as their platform for intelligent process automation to give improved customer care both online and in-person, enabling robots and people to collaborate successfully.

Challenges

A newly automated operational model needs skilled labor to run, but it’s critical to find people with RPA and AI experience. This involves technical expertise, familiarity with the business procedures of the firm, and the ability to change management tactics. The employment or upskilling of humans to construct automation, which is often top of mind, is equally important as assigning people to continual maintenance, support, and troubleshooting. According to McKinsey, there is a 31% skilled labor scarcity in Asia, a 27% skilled labor need in Europe, and a 25% skilled labor shortage in the US when it comes to implementing IPA solutions.

Report highlights

  • Intelligent process automation is expected to have significant market expansion due to the high emphasis on automation in processes and the trend of applying artificial intelligence to improve working efficiency and process quality.
  • Customers are becoming more attracted to intelligent process automation due to the entrance of new market participants and ongoing growth and innovation by global companies.
  • During the anticipated period, the services sector is anticipated to dominate the market for intelligent process automation.
  • Throughout the projection, North America is expected to continue to dominate the market. The growth in the enterprise’s usage of process management and automation technologies in the US is fueling regional development.
  • The BFSI industry had the largest market share in 2022. The BFSI sector automates repetitive tasks including data entry, regulatory compliance, assembly, and formulation to boost speed and efficiency.

Related Reports

  • Healthcare Automation Market – The global healthcare automation market was valued at USD 37.8 billion in 2021 and is expanding around USD 91.6 billion by 2030 with a CAGR of 10.33% from 2022 to 2030.
  • Distribution Automation Market – The global distribution automation market was valued at USD 21.4 billion in 2021 and is expanding around USD 41.9 billion by 2030 with a CAGR of 7.75% from 2022 to 2030.
  • Logistics Automation Market – The global logistics automation market was valued at USD 52.6 billion in 2021 and is expanding around USD 162.5 billion by 2030 a CAGR of 13.15% from 2022 to 2030.
  • Pharmacy Automation Market – The global pharmacy automation market was valued at US$ 6.16 billion in 2021 and is expanding around US$ 12.35 billion by 2030 with a CAGR of 8.04%.

Recent developments

  • IBM Corporation and Cisco Systems Inc. announced their partnership in October 2021 with the goal of facilitating the orchestration and administration of a sizable number of 5G core and radio nodes.
  • IBM Corporation announced the release of hybrid cloud-based and AI-powered automation software in June 2021. This software will let different communication service providers automate the administration of the 5G network more quickly and across a variety of contexts.

Market Segmentation

By Technology

  • Natural language Processing
  • Machine and Deep Learning
  • Neural Networks
  • Virtual Agents
  • Mini Bots
  • Computer Vision
  • Others

By Organization Size

  • Large Enterprises
  • SMEs

By Application

  • IT Operations
  • Business Process Automation
  • Application Management
  • Content Management
  • Security Management
  • Other

By Deployment Mode

  • On-premises
  • Cloud

By Vertical

  • BFSI
  • Telecommunication and IT
  • Manufacturing & Logistics
  • Media & Entertainment
  • Retail & eCommerce
  • Healthcare & Life Sciences
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • The Middle East and Africa

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Artificial Intelligence

IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry

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Up to $187M CAD to be invested to progress expansion of chip packaging capacity and capabilities and to strengthen R&D at IBM Canada’s Bromont plant
BROMONT, QC, April 26, 2024 /PRNewswire/ — IBM (NYSE: IBM), the Government of Canada, and the Government of Quebec today announced agreements that will strengthen Canada’s semiconductor industry, and further develop the assembly, testing and packaging (ATP) capabilities for semiconductor modules to be used across a wide range of applications including telecommunications, high performance computing, automotive, aerospace & defence, computer networks, and generative AI, at IBM Canada’s plant in Bromont, Quebec. The agreements reflect a combined investment valued at approximately $187M CAD.

“Today’s announcement is a massive win for Canada and our dynamic tech sector. It will create high-paying jobs, invest in innovation, strengthen supply chains, and help make sure the most advanced technologies are Canadian-made. Semiconductors power the world, and we’re putting Canada at the forefront of that opportunity,” said the Right Honourable Justin Trudeau, Prime Minister of Canada
In addition to the advancement of packaging capabilities, IBM will be conducting R&D to develop methods for scalable manufacturing and other advanced assembly processes to support the packaging of different chip technologies, to further Canada’s role in the North American semiconductor supply chain and expand and anchor Canada’s capabilities in advanced packaging.
The agreements also allow for collaborations with small and medium-sized Canadian-based enterprises with the intent of fostering the development of a semiconductor ecosystem, now and into the future.
“IBM has long been a leader in semiconductor research and development, pioneering breakthroughs to meet tomorrow’s challenges. With the demand for compute surging in the age of AI, advanced packaging and chiplet technology is becoming critical for the acceleration of AI workloads,” said Darío Gil, IBM Senior Vice President and Director of Research. “As one of the largest chip assembly and testing facilities in North America, IBM’s Bromont facility will play a central role in this future. We are proud to be working with the governments of Canada and Quebec toward those goals and to build a stronger and more balanced semiconductor ecosystem in North America and beyond.”
IBM Canada’s Bromont plant is one of North America’s largest chip assembly and testing facilities, having operated in the region for 52 years. Today, the facility transforms advanced semiconductor components into state-of-the-art microelectronic solutions, playing a key role in IBM’s semiconductor R&D leadership alongside IBM’s facilities at the Albany NanoTech Complex and throughout New York’s Hudson Valley. These agreements will help to further establish a corridor of semiconductor innovation from New York to Bromont. 
“Advanced packaging is a crucial component of the semiconductor industry, and IBM Canada’s Bromont plant has led the world in this process for decades,” said Deb Pimentel, president of IBM Canada. “Building upon IBM’s 107-year legacy of technology innovation and R&D in Canada, the Canadian semiconductor industry will now become even stronger, allowing for robust supply chains and giving Canadians steady access to even more innovative technologies and products. This announcement represents just one more example of IBM’s leadership and commitment to the country’s technology and business landscape.”
Chip packaging, the process of connecting integrated circuits on a chip or circuit board, has become more complex as electronic devices have shrunk and the components of chips themselves get smaller and smaller. IBM announced the world’s first 2 nanometer chip technology in 2021 and, as the semiconductor industry moves towards new methods of chip construction, advances in packaging will grow in importance. 
“Semiconductors are part of our everyday life. They are in our phones, our cars, and our appliances. Through this investment, we are supporting Canadian innovators, creating good jobs, and solidifying Canada’s semiconductor industry to build a stronger economy. Canada is set to play a larger role in the global semiconductor industry thanks to projects like the one we are announcing today. Because, when we invest in semiconductor and quantum technologies, we invest in economic security.”  — The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry
“This investment by IBM in Bromont will ensure that Quebec continues to stand out in the field of microelectronics. An increase in production capacity will solidify Quebec’s position in the strategic microelectronics sector in North America.” — The Honourable Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister responsible for Regional Economic Development and Minister responsible for the Metropolis and the Montreal region
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in semiconductors, AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. 
Media ContactLorraine BaldwinIBM [email protected] 
Willa HahnIBM [email protected]
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Artificial Intelligence

HITACHI ACQUIRES MA MICRO AUTOMATION OF GERMANY IN EFFORT TO ACCELERATE GLOBAL EXPANSION OF ROBOTIC SI BUSINESS IN THE MEDICAL AND OTHER FIELDS

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HOLLAND, Mich., April 26, 2024 /PRNewswire/ — Hitachi Ltd. (TSE: 6501, “Hitachi”) has signed a stock purchase agreement on April 26 to acquire all shares of MA micro automation GmbH (“MA micro automation”, headquartered in St. Leon-Rot, Germany) from MAX Management GmbH (a subsidiary of MAX Automation SE). MA micro automation is a leading provider of robotic and automation technology (robotic SI) including high-speed linear handling systems, high-precision assembly lines, and high-speed vision inspection technology for Europe, North America, and Southeast Asia, for EUR 71.5M million. The transaction is expected to close in the second half of 2024, pending completion of the customary regulatory filings. After the acquisition is completed, MA micro automation will join JR Automation Technologies, LLC (“JR Automation”), a market leader in providing advanced automation solutions and digital technologies in the robotic system integration business for North America, Europe, and Southeast Asia as a continued effort to expand the company’s global presence.

MA micro automation is a technology leader for automation solutions within micro-assembly. Through its state-of-the-art proprietary high-speed and high-precision automation know-how, combined with unique optical image inspection capabilities, MA micro automation serves high-growth med-tech automation end-markets, covering the production, assembly, and testing medical and optical components including contact lenses, IVD and diabetes diagnostics consumables, and injection molding for medical use. The company was established in 2003 through a carve-out from Siemens*1 and since 2013 has been part of the MAX Automation group. 
JR Automation is a leading provider of intelligent automated manufacturing technology solutions, serving customers across the globe in a variety of industries including automotive, life sciences, e-mobility, consumer and industrial products. With over 20 locations between North America, Europe, and Southeast Asia, the leading integrator offers nearly 2 million square feet (185,806 sq. m) of available build and engineering floorspace. This acquisition allows JR Automation to further grow and strengthen both the company’s geographical footprint and their continued commitment on expanding support capabilities within the European region and medical market vertical.
“MA micro automation provides engineering, build and support expertise with established capabilities in complex vision applications, high-speed and high-precision automation technologies. When integrated with JR Automation’s uniform global process and digital technologies, this partnership will further enhance our ability to deliver added value and support to all of our customers worldwide and continue to grow our capabilities in the medical market,” says Dave DeGraaf, CEO of JR Automation. “As we integrate this new dimension, impressive talents and abilities of the MA micro automation team we further enhance our ability to serve our customers, creating a more robust and globally balanced offering.”
With this acquisition, Hitachi aims to further enhance its ability to provide a “Total Seamless Solution*2” to connect manufacturer’s factory floors seamlessly and digitally with their front office data, allowing them to achieve total optimization and bringing Industry 4.0 to life. This “Total Seamless Solution” strategy links organizations’ operational activities such as engineering, supply chain, and purchasing to the plant floor and allows for real time, data-driven decision-making that improves the overall business value for customers.
Kazunobu Morita, Vice President and Executive Officer, CEO of Industrial Digital Business Unit, Hitachi, Ltd. says, “We are very pleased to welcome MA micro automation to the Hitachi Group. The team is based in Europe, providing robotic SI to global medical device manufacturing customers with its high technological capabilities and will join forces with JR Automation and Hitachi Automation to strengthen our global competitiveness. Hitachi aims to enhance its ability to provide value to customers and grow alongside them by leveraging its strengths in both OT, IT, including robotic SI, and “Total Seamless Solution” through Lumada*3’s customer co-creation framework.”
Joachim Hardt, CEO MA micro automation GmbH says, “Following the successful establishment and growth of MA micro automation within the attractive automation market for medical technology products, we are now opening a new chapter. Our partnership with Hitachi will not only strengthen our global competitive position, but we will also benefit from joint technological synergies and a global market presence.  We look forward to a synergistic partnership with Hitachi and JR Automation.”
Outline of MA micro automation    
Name
MA micro automation GmbH
Head Office
St. Leon-Rot, Germany
Representative
Joachim Hardt (CEO)
Outline of Business
Automation solutions within micro-assembly
Total no. of Employees:
Approx. 200 (As of April 2024)
Founded
2003
Revenues (2023)
€ 46.5 million
Website

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*1
“Siemens” is a registered trademark or trademark of Siemens Trademark GmbH & Co. KG in the U.S. and other countries.
*2
“Total Seamless Solution” is a registered trademark of Hitachi, Ltd. in the U.S. and Japan.
*3
Lumada: A collective term for solutions, services and technologies based on Hitachi’s advanced digital technologies for creating value from customers’ data accelerating digital innovation. https://www.hitachi.com/products/it/lumada/global/en/index.html
About JR AutomationEstablished in 1980, JR Automation is a leading provider of intelligent automated manufacturing technology solutions that solve customers’ key operational and productivity challenges. JR Automation serves customers across the globe in a variety of industries, including automotive, life sciences, aerospace, and more.  
In 2019, JR Automation was acquired by Hitachi, Ltd. In a strategic effort towards offering a seamless connection between the physical and cyber space for industrial manufacturers and distributers worldwide. With this partnership, JR Automation provides customers a unique, single-source solution for complete integration of their physical assets and data information, offering greater speed, flexibility, and efficiencies towards achieving their Industry 4.0 visions. JR Automation employs over 2,000 people at 21 manufacturing facilities in North America, Europe, and Asia.  For more information, please visit www.jrautomation.com.   
About Hitachi, Ltd.Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers’ and society’s challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of “Digital Systems & Services” – supporting our customers’ digital transformation; “Green Energy & Mobility” – contributing to a decarbonized society through energy and railway systems, and “Connective Industries” – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company’s website at https://www.hitachi.com.
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Artificial Intelligence

$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).

XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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