Jason Kingdon

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Jason Kingdon
Jason Kingdon.jpg
Born
United Kingdom
Alma mater University College London, Queen Mary University of London, University of Bristol

Jason Kingdon is a computer scientist and entrepreneur. He was previously CEO of Blue Prism [1] [2] [3] and co-founder of several AI companies. [4] He was co-founder of UCL's Intelligent Systems Lab where he introduced the use of a neural network in live financial forecasting, [4] and co-founder and CEO of Searchspace, a company that applied AI to detect money laundering and detect insider dealing at banks and stock exchanges. [5] In 2008, he joined Blue Prism as executive chairman. The company has been credited with creating the Robotic Process Automation market. [6]

Contents

Education

Kingdon completed his undergraduate degree in pure mathematics at Queen Mary University of London, masters in Mathematical Logic and Theory Computation at the University of Bristol and his PhD in Computer Science at University College London. [4] His PhD thesis was on feed-forward Neural Networks (NN) and genetic algorithms for automated financial time series modelling. [7]

Career

Kingdon was one of the[ vague ] earliest pioneers in applying AI for enterprise-scale problems starting in the mid-nineties.

While a PhD student at UCL, he co-founded Searchspace and also co-founded the Intelligent Systems Lab. [4] [8] Searchspace applied AI to detect money laundering, detect insider dealing detection at banks [5] and stock exchanges. [6] In 2005, he sold Searchspace to Warburg Pincus for $140 million. [9] [10]

Kingdon became an early investor in Blue Prism, a Robotic Process Automation (RPA) company, [9] a category of enterprise software that it helped define. [6] He led business strategy and the IPO in 2016.[ fact or opinion? ] As of 2020, he is the CEO and chairman of the company. [1] [11] The company's software provides a 'digital workforce' to organisations that carry out tasks the same way existing users do. It has over 2000 customers in 70 commercial sectors, and in more than 170 countries. [12]

In 2020 in an article for Computer Weekly , Kingdon introduced[ fact or opinion? ] the notion of the Digital Singularity where he pointed out that a consequence of robotic process automation was that all digital technologies past, present, and future could now interoperate.[ fact or opinion? ] He suggests this will usher a new phase of hyper-acceleration of digital technologies akin to the invention of a new Internet. [13]

Awards

Kingdon received the 2003 Ernst & Young Entrepreneur of the Year,[ citation needed ] and on behalf of Searchspace received Deloitte Fast 50 list of fastest growing technology companies in 2002 and 2005, [14] and the Sunday Times ’ Tech Track 100 in 2002 and 2005. [15]

Publications

Kingdon has published books, [16] patents [17] and papers [18] in the fields of neural networks, genetic algorithms, fraud detection, robotic process automation and the future of enterprise computing. [19]

His patents include: "Method and system for combating robots and rogues" [17] and "Value flow monitoring system". [20]

Related Research Articles

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems, as opposed to the natural intelligence of living beings. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.

<span class="mw-page-title-main">Automation</span> Use of various control systems for operating equipment

Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision.

<span class="mw-page-title-main">Dario Floreano</span> Swiss-Italian roboticist and engineer

Dario Floreano is a Swiss-Italian roboticist and engineer. He is Director of the Laboratory of Intelligent System (LIS) at the École Polytechnique Fédérale de Lausanne in Switzerland and was the founding director of the Swiss National Centre of Competence in Research (NCCR) Robotics.

Business process automation (BPA), also known as business automation, distinguished from business process management (BPM), is the technology-enabled automation of business processes. It can help a business in simplicity, to increase digital transformation, increase service quality, improve service delivery, or contain costs. BPA consists of integrating applications, restructuring labor resources, and using software applications throughout the organization. Robotic process automation is an emerging field within BPA.

The following outline is provided as an overview of and topical guide to artificial intelligence:

Robotics is the branch of technology that deals with the design, construction, operation, structural disposition, manufacture and application of robots. Robotics is related to the sciences of electronics, engineering, mechanics, and software. The word "robot" was introduced to the public by Czech writer Karel Čapek in his play R.U.R., published in 1920. The term "robotics" was coined by Isaac Asimov in his 1941 science fiction short-story "Liar!"

Artificial intelligence (AI) has been used in applications throughout industry and academia. Similar to electricity or computers, AI serves as a general-purpose technology that has numerous applications. Its applications span language translation, image recognition, decision-making, credit scoring, e-commerce and various other domains.

<span class="mw-page-title-main">Samsung SDS</span> South Korean IT company and subsidiary of Samsung Group

Samsung SDS Co., Ltd., Established in 1985 as a subsidiary of Samsung Group, is a provider of Information Technology (IT) services, including consulting, technical, and outsourcing services. SDS is also active in research and development of emerging IT technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT) and outsourcing in engineering. In 2019, Samsung SDS reported a net profit of 750.4 billion won, an increase of 17.5% year-on-year. The company is estimated to have the 11th most valuable brand among global IT service companies, at US$3.7 billion as of January 2020. Samsung SDS has headquarters in South Korea and eight other overseas subsidiaries, one in America, Asia-Pacific, China, Europe, Latin America, Middle East, India, and Vietnam.

Machine ethics is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence, otherwise known as artificial intelligent agents. Machine ethics differs from other ethical fields related to engineering and technology. Machine ethics should not be confused with computer ethics, which focuses on human use of computers. It should also be distinguished from the philosophy of technology, which concerns itself with the grander social effects of technology.

The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert systems, computer programs that process input and provide valuable output for marketers.

Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. It is sometimes referred to as software robotics.

Blue Prism is the trading name of the Blue Prism Group plc, a British multinational software corporation that pioneered and makes enterprise robotic process automation (RPA) software that provides a digital workforce designed to automate complex, end-to-end operational activities. In March 2022, Blue Prism was acquired by SS&C Technologies.

<span class="mw-page-title-main">Appian Corporation</span> American cloud computing company

Appian Corporation is an American cloud computing and enterprise software company headquartered in McLean, Virginia, part of the Dulles Technology Corridor. The company sells a platform as a service (PaaS) for building enterprise software applications. It is focused on low-code development, process mining, business process management, and case management markets in North America, Europe, the Middle East and Southeast Asia.

Lawbots are a broad class of customer-facing legal AI applications that are used to automate specific legal tasks, such as document automation and legal research. The terms robot lawyer and lawyer bot are used as synonyms to lawbot. A robot lawyer or a robo-lawyer refers to a legal AI application that can perform tasks that are typically done by paralegals or young associates at law firms. However, there is some debate on the correctness of the term. Some commentators say that legal AI is technically speaking neither a lawyer nor a robot and should not be referred to as such. Other commentators believe that the term can be misleading and note that the robot lawyer of the future won't be one all-encompassing application but a collection of specialized bots for various tasks.

<span class="mw-page-title-main">UiPath</span> Romanian-American developer of robotic process automation software

UiPath Inc. is a global software company that makes robotic process automation (RPA) software. It was founded in Bucharest, Romania, by Daniel Dines and Marius Tîrcă. Its headquarters are in New York City. The company's software monitors user activity to automate repetitive front and back office tasks, including those performed using other business software such as customer relationship management or enterprise resource planning (ERP) software.

<span class="mw-page-title-main">Buffalo Automation</span>

Buffalo Automation is an artificial intelligence (AI) startup that develops autonomous navigation technology for commercial ships, recreational boats, and water taxis with the goal to improve maritime safety. It is a private company based in Buffalo, New York. Thiru Vikram is the CEO of the company.

Government by algorithm is an alternative form of government or social ordering where the usage of computer algorithms is applied to regulations, law enforcement, and generally any aspect of everyday life such as transportation or land registration. The term "government by algorithm" has appeared in academic literature as an alternative for "algorithmic governance" in 2013. A related term, algorithmic regulation, is defined as setting the standard, monitoring and modifying behaviour by means of computational algorithms – automation of judiciary is in its scope. In the context of blockchain, it is also known as blockchain governance.

Intelligent automation (IA), or alternately intelligent process automation, is a software term that refers to a combination of artificial intelligence (AI) and robotic process automation (RPA). Companies use intelligent automation to cut costs and streamline tasks by using artificial-intelligence-powered robotic software to mitigate repetitive tasks. As it accumulates data, the system learns in an effort to improve its efficiency. Intelligent automation applications consist of but are not limited to, pattern analysis, data assembly, and classification. The term is similar to hyperautomation, a concept identified by research group Gartner as being one of the top technology trends of 2020.

Artificial intelligence is used by many different businesses and organizations. It is widely used in the financial sector, especially by accounting firms, to help detect fraud.

<span class="mw-page-title-main">ABBYY</span> American digital intelligence company

ABBYY is an American technology company specializing in intelligent document processing, data capture, process intelligence and optical character recognition (OCR). Primarily focused on software as a service model, the company serves clients worldwide. One of ABBYY's best-known products is the ABBYY FineReader — an OCR application.

References

  1. 1 2 "Blue Prism Rehires Jason Kingdon As Executive Chair Amid Growth". MorningStar. 22 October 2019. Archived from the original on 5 February 2020. Retrieved 21 September 2020.
  2. ↑ "What Office Life Might Look Like In The Year 2030". The Wall Street Journal. 5 March 2020. Retrieved 1 April 2020.
  3. ↑ "Blue Prism To Raise GBP100 Million Via Placing; CEO Bathgate To Depart". Morningstar. Retrieved 23 April 2020.
  4. 1 2 3 4 "Commercialising RPA - Blue Prism Chairman on "a technology that got invented in the UK - and no-one even noticed"". Diginomica. 29 October 2019.
  5. 1 2 "Searchspace raises $5.5m from Scottish Equity Partners". Finextra Research. 1 September 2004. Retrieved 17 March 2020.
  6. 1 2 3 "From Communism To Coding: How Daniel Dines Of $7 Billion UiPath Became The First Bot Billionaire". Forbes. 11 September 2019.
  7. ↑ Kingdon, J. C. (1995). Feed forward neural networks and genetic algorithms for automated financial time series modelling (Thesis).
  8. ↑ "Blue Prism Group Board Changes". 22 October 2019.
  9. 1 2 "Why RPA? Blue Prism chairperson exaplains why RPA is a game changer". Information Age. 17 October 2019. Retrieved 23 January 2020.
  10. ↑ TWK (28 March 2019). "Fast Track". Fast Track. Retrieved 23 January 2020.
  11. ↑ "Blue Prism se presenta en España tras disparar sus beneficios en todo el mundo". Capital (in Spanish). 23 March 2020. Retrieved 2 April 2020.
  12. ↑ "Blue Prism's executive chairman discusses the rise of RPA". 9 March 2020.
  13. ↑ "The automation revolution is happening now - Data Matters". www.computerweekly.com. Retrieved 30 September 2020.
  14. ↑ "Deloitte UK Technology Fast 50". UK Technology Fast 50.
  15. ↑ "Fast Track". Fast Track.
  16. ↑ Intelligent Systems and Financial Forecasting | Jason Kingdon | Springer.
  17. 1 2 WO 2002056157,Feldman, Konrad Simeon; Kingdon, Jason& Recce, Michael,"A method and system for combating robots and rogues",published 2002-07-18, assigned to Searchspace Ltd.and inventors
  18. ↑ Kingdon, J. (May 2004). "AI fights money laundering". IEEE Intelligent Systems. 19 (3): 87–89. doi:10.1109/MIS.2004.1.
  19. ↑ Kingdon, Jason (17 January 2014). "Software Robots: The Long Tail of Automation". Wired.
  20. ↑ GB 2321751,Kingdon, Jason; Wicks, Tony James& Mangat, Anoop Singhet al.,"Value flow monitoring system",published 1998-08-05, assigned to Searchspace Ltd.
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