Pawel Lewicki

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Paul (Pawel) Lewicki
Dr.lewicki.jpg
Born (1953-10-07) October 7, 1953 (age 70)
Warsaw, Poland
Nationality American
Alma mater University of Warsaw
Occupation(s) Cognitive Scientist
Entrepreneur
Investor
Known forCognitive Research on Nonconscious Acquisition of Knowledge
Founder of StatSoft

Paul (Pawel) Lewicki is a cognitive scientist, an entrepreneur, and investor. He was a professor of cognitive psychology at the University of Tulsa from 1984 through 2009, where he established the Nonconscious Information Processing Laboratory, funded by NSF and NIH. After leaving the university in 2009, [1] he assumed the full-time role of CEO of StatSoft, [2] a multinational analytics software company that he founded and where he was a majority shareholder. On March 24, 2014, StatSoft was sold to Dell. [3]

Contents

Research in cognitive psychology

Lewicki is best known for his research on nonconscious information processing and self-perpetuation, where he demonstrated that procedural knowledge in many cases can be created via subconscious acquisition of information about complex covariations between events or features, and that subconsciously, individuals can acquire very complex knowledge structures based on highly-multidimensional patterns of data. [4]

Lewicki's research on the self-perpetuating development of encoding dispositions purports to show that accidentally acquired (and even very slight) cognitive preferences or other encoding/interpretive dispositions can gradually develop and strengthen in a self-perpetuating manner. [4] This mechanism may contribute to the development of [personality traits and individual preferences, it may facilitate learning, but it can also lead to self-perpetuating development of dysfunctional biases, phobias, aversions and other symptoms of personality disorders.

Cognitive mining versus predictive data mining

Lewicki together with fellow cognitive researcher Thomas Hill were among the first to publish evidence that advanced expertise acquired by humans via experience, involves the acquisition (learning) and utilization of repeatable patterns in data that are structurally more complex than what humans can verbalize or intuitively experience, because they involve high-order interactions between multiple variables. [4] [5] The human consciousness usually cannot handle more than only third-order interactions. [4]

This approach became popular and rapidly adopted by the corporate world as so-called “predictive data mining” starting in the late 1990s and StatSoft’s STATISTICA Data Miner is now one of the widely used enterprise-level software systems for data mining and predictive analytics. [6] [7] [8]

Lewicki began to write data analysis software for personal computers even before PCs became powerful enough to handle computationally-intensive procedures such as data mining. [9] He found the mainframe data analysis software difficult to use and needed a tool to analyze his research data. He gave this software away for free to colleagues, who provided positive feedback and this led him to incorporate StatSoft. [2] StatSoft then expanded into enterprise-scale predictive analytics software and, according to the company website, is now an international analytic solution software provider with more than 1,000,000 users and 30 offices worldwide.

StatSoft

Lewicki was the Chief Executive Officer and President of StatSoft; [2] on March 24, 2014, StatSoft was acquired by Dell. [3]

In a recent interview, [1] Lewicki emphasized that StatSoft’s corporate culture remains focused on long-term research and altruism rather than profits: "Our mission is to create value and to make the world a better place, and analytics contribute directly to that. Our employees' biggest reward is to see that what we're doing works and is making a difference." [1]

Lewicki is the co-author (with Thomas Hill) of Statistics: Methods and Applications [10] (also freely available in electronic format as the StatSoft Electronic Statistics Textbook Archived 2009-12-14 at the Wayback Machine ), a popular resource on statistics and predictive modeling on the web with over 375,000 links from other websites worldwide (according to Google Analytics).

At StatSoft, Lewicki (with Thomas Hill) also directed research sponsored by the Electric Power Research Institute of Palo Alto (EPRI), to demonstrate the effectiveness of pattern recognition and predictive modeling algorithms for the optimization of combustion processes, to reduce harmful emissions from fossil fuel plants. [11] The results of this research were published as EPRI Report number 1016494, and were also presented at the 2008 Meeting of the Asia-Pacific Partnership on Clean Development and Climate. [12] Lewicki has communicated to EPRI that because of the relevance of this work for environmentally sustainable power generation, this technology will be released to the public domain as soon as the proper regulatory infrastructure is established by the EPA and DOE. [1]

Involvement in European economies

In the fall of 2012, Lewicki led the “Free Enterprise Software for Struggling European Economies” initiative, where StatSoft was installing free enterprise systems to companies in Greece, Portugal, and Spain to boost their productivity and competitiveness, and to facilitate their recovery. [13] Lewicki has directed an open letter to fellow CEOs of US software companies urging them to join the initiative. [14]

Artificial Intelligence in Medicine

After the sale of StatSoft to Dell in 2014, Lewicki focused on applications of Artificial Intelligence in Medicine, that has been traditionally slower in adopting big data learning and data mining, and he co-founded Holo Surgical Inc., a company that developed technology based on Artificial Intelligence and Augmented Reality to provide surgeons and later robots with synthetic vision. This AI-based technology is intended to support digital surgery by allowing surgeons to see internal organs without making incisions as if the patient had no skin, muscles, or connective tissue and thus to perform complex surgeries using minimally invasive techniques. Lewicki was the President and a major shareholder of Holo Surgical Inc. until 2020 when it was acquired by Surgalign Holdings Inc. (Nasdaq: SRGA). Lewicki joined the Board of Directors of Surgalign in 2020.

In 2016, Lewicki co-founded Interneural Networks Inc. (a company that specializes in Artificial Intelligence and Big Data Learning analysis of MRI brain imaging), and Kardiolytics (a company that developed AI-based, non-invasive heart-diagnostics methods). Kardiolytics uses non-invasive, AI-based analysis of inexpensive and widely available CT-scans to produce in depth heart diagnostics, with the goal of providing these methods remotely to a large percentage of the world population that currently have no access to advanced medical procedures.

In 2017, Lewicki co-founded Dystrogen Therapeutics Inc. a company that develops treatments for rare diseases such as Duchenne Muscular Dystrophy and Huntington Disease based on high-tech therapies using chimeric cells and RNAi platforms.

Personal

Lewicki is a jet-rated Airline Transport Pilot, [15] he is also an avid scuba diver, horse rider, and a skier. [14]

Related Research Articles

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

<span class="mw-page-title-main">SPSS</span> Statistical analysis software

SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.

Software AG is a German multinational software corporation that develops enterprise software for business process management, integration, and big data analytics. Founded in 1969, the company is headquartered in Darmstadt, Germany, and has offices worldwide.

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

<span class="mw-page-title-main">SAS (software)</span> Statistical software

SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics.

StatSoft is the original developer of Statistica. Dell acquired it in March 2014. Statistica is an analytics software portfolio that provides enterprise and desktop software for statistics, data analysis, data management, data visualization, data mining, which is also called predictive analytics, and quality control.

Statistica is an advanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc. Statistica provides data analysis, data management, statistics, data mining, machine learning, text analytics and data visualization procedures.

Enterprise software, also known as enterprise application software (EAS), is computer software used to satisfy the needs of an organization rather than its individual users. Enterprise software is an integral part of a computer-based information system, handling a number of business operations, for example to enhance business and management reporting tasks, or support production operations and back office functions. Enterprise systems must process information at a relatively high speed.

Unstructured data is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated in documents.

Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence. The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart.

Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription.

<span class="mw-page-title-main">TIBCO Software</span> American enterprise software company

TIBCO Software Inc. is a business unit of Cloud Software Group that provides enterprise software. It has headquarters in Palo Alto and offices in North America, Europe, Asia, the Middle East, Africa and South America.

<span class="mw-page-title-main">SPSS Modeler</span> Data analytics software

IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.

Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics as well as related processes of their development and evolution. It aims at describing, monitoring, predicting, and improving the efficiency and effectiveness of software engineering throughout the software lifecycle, in particular during software development and software maintenance. The data collection is typically done by mining software repositories, but can also be achieved by collecting user actions or production data.

<span class="mw-page-title-main">Dell Software</span> Former software division of Dell, Inc.

Dell Software was a former division of Dell with headquarters in Round Rock, Texas, United States. Dell Software was created by merging various acquisitions by Dell Inc., the third-largest maker of PCs and now a privately held company, to build out its software offerings for data center and cloud management, information management, mobile workforce management, security and data protection for organizations of all sizes.

Datawatch Corporation was an American software company that creates and sells self-service data preparation solutions. The entire platform included Datawatch Monarch Complete, Monarch Server and Monarch Swarm.

An intelligence engine is a type of enterprise information management that combines business rule management, predictive, and prescriptive analytics to form a unified information access platform that provides real-time intelligence through search technologies, dashboards and/or existing business infrastructure. Intelligence Engines are process and/or business problem specific, resulting in industry and/or function-specific marketing trademarks associated with them. They can be differentiated from enterprise resource planning (ERP) software in that intelligence engines include organization-level business rules and proactive decision management functionality.

References

  1. 1 2 3 4 Evatt, Robert.StatSoft helps others find patterns within data. Tulsa World (accessed August 14, 2011)
  2. 1 2 3 Bloomberg. Company Overview of StatSoft, Inc. (accessed November 10, 2012
  3. 1 2 Dell Press Release March 24, 2014. Dell Acquires StatSoft to Bolster Portfolio of Big Data Solutions Archived 2015-05-08 at the Wayback Machine (accessed March 24, 2014
  4. 1 2 3 4 Lewicki, Paul, Hill, Thomas, & Czyzewska, Maria (1992). Nonconscious acquisition of information. American Psychologist, 47, 796-801
  5. ↑ Lewicki, Paul (1986). Nonconscious social information processing. New York: Academic Press
  6. ↑ Nisbet, Robert; Elder, John; Miner, Gary (2009). Handbook of Statistical Analysis & Data Mining Applications, Academic Press/Elsevier, ISBN   978-0-12-374765-5
  7. ↑ Miner, Gary; Elder, John; Hill, Thomas; Nisbet, Robert; Delen, Dursun; Fast, Andrew (2012); Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, Academic Press/Elsevier, ISBN   978-0-123869791
  8. ↑ Karl Rexer, Heather Allen, & Paul Gearan (2011); 2011 Data Miner Survey Summary, presented at Predictive Analytics World, Oct. 2011.
  9. ↑ Beck-Round, Carol (2007). The Data Wiz. Oklahoma Magazine, March 6–7
  10. ↑ Hill, Thomas; Lewicki, Paul (2006). Statistics: Methods and applications. A comprehensive reference for science, industry, and data mining. StatSoft Inc. ISBN   1-884233-59-7
  11. ↑ Electric Power Research Institute (EPRI) (2008), Statistical Use of Existing DCS Data for Process Optimization EPRI, Palo Alto, CA. (report# 1016494)
  12. ↑ Hill, Thomas (2008). Process Optimization through the Application of Data-Driven (Data Mining) Methods to Historical Process Data. Asia-Pacific Partnership on Clean Development and Climate
  13. ↑ StatSoft Press Release: StatSoft to Aid Struggling European Economies With Free Enterprise Analytics Software (accessed November 3, 2011)
  14. 1 2 Adame, Jaime (2012).From Tulsa, With Love (& Logic): Gift from local company an effort to jumpstart European economy. Urban Tulsa, November 14, 2012. (accessed November 14, 2012)
  15. ↑ Federal Aviation Administration Registry.. Airmen Registry Database. (accessed April 2, 2013)
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