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Killexams : IBM Intelligent answers - BingNews Search results Killexams : IBM Intelligent answers - BingNews Killexams : Here's How Consumers Can Now Use Watson No result found, try new keyword!Questions Watson is equipped to answer include “What is the ... “Through this experience, we expect to learn how intelligent assistants like IBM Watson can help service members who may not ... Fri, 22 Jul 2022 12:00:00 -0500 en-us text/html Killexams : How Much Is Microsoft Worth? No result found, try new keyword!Microsoft was born in an Albuquerque garage in 1975. Co-founders Bill Gates and Paul Allen wanted to create software to run on an early personal computer known as the Altair 8800. The name “Microsoft” ... Mon, 01 Aug 2022 10:26:00 -0500 text/html Killexams : 2.0 Intelligent Electric Vehicles Market: Ready To Fly on high Growth Trends

This report studies the 2.0 Intelligent Electric Vehicles Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete 2.0 Intelligent Electric Vehicles Market analysis segmented by companies, region, type and applications in the report.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.

Some of the key players’ Analysis in Global 2.0 Intelligent Electric Vehicles Market @ Microsoft, Oracle, SAP, BEA, and IBM


It is our aim to provide our readers with report for Global 2.0 Intelligent Electric Vehicles Market, which examines the industry during the period 2022 – 2028. One goal is to present deeper insight into this line of business in this document. The first part of the report focuses on providing the industry definition for the product or service under focus in the Global 2.0 Intelligent Electric Vehicles Market report. Next, the document will study the factors responsible for hindering and enhancing growth in the industry. After covering various areas of interest in the industry, the report aims to provide how the Global 2.0 Intelligent Electric Vehicles Market will grow during the forecast period.

One of the crucial parts of this report comprises Global 2.0 Intelligent Electric Vehicles Market industry key vendor’s discussion about the brand’s summary, profiles, market revenue, and financial analysis. The report will help market players build future business strategies and discover worldwide competition. A detailed segmentation analysis of the market is done on producers, regions, type and applications in the report.

On the basis of geographically, the market report covers data points for multiple geographies such as United States, Europe, China, Japan, Southeast Asia, India, and Central& South America

Analysis of the market:

Other important factors studied in this report include demand and supply dynamics, industry processes, import & export scenario, R&D development activities, and cost structures. Besides, consumption demand and supply figures, cost of production, gross profit margins, and selling price of products are also estimated in this report.

Frequently Asked Questions

Which product segment grabbed the largest share in the 2.0 Intelligent Electric Vehicles Market?

How is the competitive scenario of the 2.0 Intelligent Electric Vehicles Market?

Which are the key factors aiding the 2.0 Intelligent Electric Vehicles Market growth?

Which are the prominent players in the 2.0 Intelligent Electric Vehicles Market?

Which region holds the maximum share in the 2.0 Intelligent Electric Vehicles Market?

What will be the CAGR of the 2.0 Intelligent Electric Vehicles Market during the forecast period?

Which application segment emerged as the leading segment in the 2.0 Intelligent Electric Vehicles Market?

What key trends are likely to emerge in the 2.0 Intelligent Electric Vehicles Market in the coming years?

What will be the 2.0 Intelligent Electric Vehicles Market size by 2028?

Which company held the largest share in the 2.0 Intelligent Electric Vehicles Market?

The conclusion part of their report focuses on the existing competitive analysis of the market. We have added some useful insights for both industries and clients. All leading manufacturers included in this report take care of expanding operations in regions. Here, we express our acknowledgment for the support and assistance from the High-speed and Intercity Trains industry experts and publicizing engineers as well as the examination group’s survey and conventions. Market rate, volume, income, demand and supply data are also examined.

To inquire about the Global 2.0 Intelligent Electric Vehicles Market report, click here:

Table of contents:

2.0 Intelligent Electric Vehicles Market Global Market Research Report 2022

1 Market Overview

2 Manufacturers Profiles

3 Global 2.0 Intelligent Electric Vehicles Market Sales, Revenue, Market Share and Competition by Manufacturer

4 Global 2.0 Intelligent Electric Vehicles Market Analysis by Regions

5 North America 2.0 Intelligent Electric Vehicles Market by Country

6 Europe 2.0 Intelligent Electric Vehicles Market by Country

7 Asia-Pacific 2.0 Intelligent Electric Vehicles Market by Country

8 South America 2.0 Intelligent Electric Vehicles Market by Country

9 Middle East and Africa 2.0 Intelligent Electric Vehicles Market  by Countries

10 Global 2.0 Intelligent Electric Vehicles Market Segment by Type

11 Global 2.0 Intelligent Electric Vehicles Market Segment by Application

12 2.0 Intelligent Electric Vehicles Market Forecast (2022-2028)

13 Sales Channel, Distributors, Traders and Dealers

14 Research Findings and Conclusion

15 Appendix

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Tue, 05 Jul 2022 19:30:00 -0500 Reports and Markets en-US text/html
Killexams : Death Of The Turing Test In An Age Of Successful AIs

IBM has come up with an automatic debating system called Project Debater that researches a topic, presents an argument, listens to a human rebuttal and formulates its own rebuttal. But does it pass the Turing test? Or does the Turing test matter anymore?

The Turing test was first introduced in 1950, often cited as year-one for AI research. It asks, “Can machines think?”. Today we’re more interested in machines that can intelligently make restaurant recommendations, drive our car along the tedious highway to and from work, or identify the surprising looking flower we just stumbled upon. These all fit the definition of AI as a machine that can perform a task normally requiring the intelligence of a human. Though as you’ll see below, Turing’s test wasn’t even for intelligence or even for thinking, but rather to determine a test subject’s sex.

The Imitation Game

Turing test with machine
Turing test with machine

The Turing test as we know it today is to see if a machine can fool someone into thinking that it’s a human. It involves an interrogator and a machine with the machine hidden from the interrogator. The interrogator asks questions of the machine using only keyboard and screen. The purpose of the interrogator’s questions are to help him to decide if he’s talking to a machine or a human. If he can’t tell then the machine passes the Turing test.

Often the test is done with a number of interrogators and the measure of success is the percentage of interrogators who can’t tell. In one example, to give the machine an advantage, the test was to tell if it was a machine or a 13-year-old Ukrainian boy. The young age excused much of the strangeness in its conversation. It fooled 33% of the interrogators.

Imitation game with a machine and a man
Imitation game with a machine and a man

Naturally Turing didn’t call his test “the Turing test”. Instead he called it the imitation game, since the goal was to imitate a human. In Turing’s paper, he gives two versions of the test. The first involves three people, the interrogator, a man and a woman. The man and woman sit in a separate room from the interrogator and the communication at Turing’s time was ideally via teleprinter. The goal is for the interrogator to guess who is male and who is female. The man’s goal is to fool the interrogator into making the wrong decision and the woman’s is to help him make the right one.

The second test in Turing’s paper replaces the woman with a machine but the machine is now the deceiver and the man tries to help the interrogator make the right decision. The interrogator still tries to guess who is male and who is female.

But don’t let that goal fool you. The real purpose of the game was as a replacement for his question of “Can a machine think?”. If the game was successful then Turing figured that his question would have been answered. Today, we’re both more sophisticated about what constitutes “thinking” and “intelligence”, and we’re also content with the machine displaying intelligent behavior, whether or not it’s “thinking”.  To unpack all this, let’s take IBM’s recent Project Debater under the microscope.

The Great Debater

IBM’s Project Debater is an example of what we’d call a composite AI as opposed to a narrow AI. An example of narrow AI would be to present an image to a neural network and the neural network would label objects in that image, a narrowly defined task. A composite AI, however, performs a more complex task requiring a number of steps, much more akin to a human brain.

Debate format

Project Debater is first given the motion to be argued. You can read the paper on IBM’s webpage for the details of what it does next but basically it spends 15 minutes researching and formulating a 4-minute opening speech supporting one side of the motion. It also converts the speech to natural language and delivers it to an audience. During those initial 15 minutes, it also compiles leads for the opposing argument and formulates responses. This is in preparation for its later rebuttal. It then listens to its opponents rebuttal, converting it to text using IBM’s own Watson speech-to-text. It analyzes the text and, in combination with the responses it had previously formulated, comes up with its own 4-minute rebuttal. It converts that to speech and ends with a summary 2-minute speech.

All of those steps, some of them considered narrow AI, add up to a composite AI. The whole is done with neural networks along with conventional data mining, processing, and analysis.

The following video is of a live debate between Project Debater and Harish Natarajan, world record holder for the number of debate competitions won. Judge for yourself how well it works.

Does Project Debater pass the Turing test? It didn’t take the formal test, however, you can judge for yourself by imagining reading a transcript of what Project Debater had to say. Could you tell whether it was produced by a machine or a human? If you could mistake it for a human then it may pass the Turing test. It also responds to the human debater’s argument, similar to answering questions in the Turing test.

Keep in mind though that Project Debater had 15 minutes to prepare for the opening speech and no numbers are given on how long it took to come up with the other speeches, so if time-to-answer is a factor then it may lose there. But does it matter?

Does The Turing Test Matter?

Does it matter if any of today’s AIs can pass the Turing test? That’s most often not the goal. Most AIs end up as marketed products, even the ones that don’t start out that way. After all, eventually someone has to pay for the research. As long as they do the job then it doesn’t matter.

IBM’s goal for Project Debater is to produce persuasive arguments and make well informed decisions free of personal bias, a useful tool to sell to businesses and governments. Tesla’s goal for its AI is to drive vehicles. Chatbots abound for handling specific phone and online requests. All of them do something normally requiring the intelligence of a human with varying degrees of success. The test that matters then is whether or not they do their tasks well enough for people to pay for them.

Maybe asking if a machine can think, or even if it can pass for a human, isn’t really relevant. The ways we’re using them require only that they can complete their tasks. Sometimes this can require “human-like” behavior, but most often not. If we’re not using AI to trick people anyway, is the Turing test still relevant?

Mon, 01 Aug 2022 12:00:00 -0500 Steven Dufresne en-US text/html
Killexams : AI Lawyer "Ross" Has Been Hired By Its First Official Law Firm

Law firm Baker & Hostetler has announced that they are employing IBM’s AI Ross to handle their bankruptcy practice, which at the moment consists of nearly 50 lawyers. According to CEO and co-founder Andrew Arruda, other firms have also signed licenses with Ross, and they will also be making announcements shortly.

Ross, “the world’s first artificially intelligent attorney” built on IBM’s cognitive computer Watson, was designed to read and understand language, postulate hypotheses when asked questions, research, and then generate responses (along with references and citations) to back up its conclusions. Ross also learns from experience, gaining speed and knowledge the more you interact with it.

“You ask your questions in plain English, as you would a colleague, and ROSS then reads through the entire body of law and returns a cited answer and topical readings from legislation, case law and secondary sources to get you up-to-speed quickly,” the website says. “In addition, ROSS monitors the law around the clock to notify you of new court decisions that can affect your case.”

Ross also minimizes the time it takes by narrowing down results from a thousand to only the most highly relevant answers, and presents the answers in a more casual, understandable language. It also keeps up-to-date with developments in the legal system, specifically those that may affect your cases.

Click to View Full Infographic

Baker & Hostetler chief information officer Bob Craig explains the rationale behind this latest hire: “At BakerHostetler, we believe that emerging technologies like cognitive computing and other forms of machine learning can help enhance the services we deliver to our clients.”

“BakerHostetler has been using ROSS since the first days of its deployment, and we are proud to partner with a true leader in the industry as we continue to develop additional AI legal assistants,” he added.

Mon, 11 Jul 2022 10:46:00 -0500 text/html
Killexams : EDUCAUSE 2014: What IBM’s Watson Could Bring to Higher Education

IBM's Watson, a cognitive computing system that simulates the human thought process, could soon be peering over teacher’s shoulders in classrooms, the company said at EDUCAUSE 2014 on Wednesday.

Several of IBM's top education leaders hosted a panel at the conference laying out Watson's trajectory in higher education. The cognitive computer’s ability to digest large data sets and communicate with humans could open new avenues for teaching, said Michael D. King, vice president, IBM Global Education Industry.

"I think the real impact on learning will start to come in the classroom, if you can imagine intelligent tutors — a system that can truly be interactive with the learner as they're engaging and learning the materials," King said.

Katherine Frase, vice president and chief technology officer of IBM's Public Sector division, said Watson is being used to help researchers process vast amounts of information. For example, IBM recently released the Watson Discovery Advisor, a cloud-based analytical arm of the computer system that’s designed to help with scientific and educational research.

Watson’s role in this realm could be crucial because the amount of documented medical knowledge doubles every few years. By 2020, the American Clinical and Climatological Association projects that it will double every 73 days. Teachers face a similar challenge in translating that knowledge into lessons, Frase said.

Watson could lend teachers a hand by expanding its role as a search engine, returning not only the best answer to a question but also the logic for how it reached that conclusion, Frase said.

While IBM's team is developing Watson’s brain, scientists are achieving a better understanding of how the human mind learns, said Satya Nitta, program director of cognitive computing for education at IBM.

"Over the next decade, we'll know a lot more of the fundamental principles of how people learn," Nitta said, adding that this kind of information could translate directly into new techniques for teaching.

Through Watson’s ability to learn along with the learner, Nitta says, "we can fundamentally bring the element of discovery, surprise and exploration back into the classroom, and in the process, deeply engage the learner."

EdTech is providing constant coverage of EDUCAUSE 2014, including video interviews, session information and tons of photos. Keep up-to-date on all of our coverage by visiting our EDUCAUSE 2014 conference page.

Sun, 26 Jun 2022 12:00:00 -0500 D. Frank Smith en text/html
Killexams : Data-centric Security Market Size, Share, Growth Rate Report, Forecast Between 2022 to 2028

New Jersey, United States – Data-centric Security Market 2022 – 2028, Size, Share, and Trends Analysis Research Report Segmented with Type, Component, Application, Growth Rate, Region, and Forecast | key companies profiled -Broadcom, Forcepoint, IBM, and others.

Data-Centric security is tied in with getting information where it is put away and taken care of, as opposed to zeroing in on security controls for servers, applications and organization foundation. Data-Centric security likewise assists associations with defeating the separation between IT security innovation and the business methodology goals by interfacing security benefits straightforwardly to the information they totally safeguard. Data Centric security assists associations with chopping down within dangers, dangers presented by programmers, and other pernicious assaults. It ceaselessly notices the movement of classified information. Data Centric models likewise adopt a zero-trust strategy that lessens digital gamble as the client demands restricted admittance just when required. Data Centric security gives numerous different advantages, for example, getting information transmissions, keeping up with information trustworthiness and security, guaranteeing consistency, and safeguarding unapproved access.

According to our latest report, the Data-centric Security market, which was valued at US$ million in 2022, is expected to grow at a CAGR of approximate percent over the forecast period.

Receive the trial Report of Data-centric Security Market Research Insights 2022 to 2028 @

The worldwide Data Centric security market size is projected to develop from an expected worth of USD 4.2 billion in 2022 to USD 12.3 billion by 2028, a growth from 2022 to 2028. The need to find, order, secure, and track the most delicate information all through its whole lifecycle; government compliances and guidelines; and developing information break episodes is driving the development of Data Centric security market across the globe. Information is becoming quicker and allowed to stream everywhere imaginable in the cloud as the need might arise. In 2020, organizations like IBM, Microsoft, and Google overwhelmed the cloud market and executed different cutting-edge innovations, like AI and ML, to examine information. Huge and little undertakings expanding need to safeguard information on the cloud is supposed to drive the Data Centric security market. For example, Informatica gives Intelligent Cloud ServicesSM, which gives information assurance as failover server farms, client confirmation, and access controls, encryption at the working system, data set, and application levels.

Data-Centric security arrangements give a far-reaching method for safeguarding ventures information consistence and protection. These arrangements can be applied to information very still, information on the way, and information being used, and can include a few cycles, for example, information characterization and disclosure, information insurance by means of encryption, tokenization and concealing, and information administration and consistence. These arrangements are thinking about the protection and security of information as opposed to the security of organizations, endpoints, and applications. Besides, expansion in occasions of cyberattacks is making Data Centric security arrangements a fundamental component in associations to safeguard strategic information. The worldwide Data-Centric security market is in the development stage, attributable to ascend in worries of information security among end clients.


Developing interest for Data-Centric security answers for cloud-based information security and expanding chances looked by big business information because of abuse of enormous information investigation, computerized reasoning, and AI is assessed to drive the Data Centric security market during the conjecture time frame. Severe guidelines, for example, the government data handling norms, and installment card industry information security principles are empowering endeavors to execute Data-Centric security, which is assessed to help the Data Centric security market during the estimate time frame.

The medical care and drug fragment is projected to observe the quickest development pace of during the gauge time frame. The medical care vertical covers individual wellbeing data and basic information about a patient that needs high security; thusly, information security has been of most extreme significance to this vertical. The developing need to shield the inside medical care information of an association is likewise of most extreme significance since most medical services associations center around client information secure and don’t zero in on the assurance of the interior information.

Access the Premium Data-centric Security market research report 2022 with a full index.

Regional analysis

The Asia Pacific district ruled the worldwide Data-Centric security market with the biggest offer because of the fast reception of encryption advances and unrivaled Data-Centric security arrangements by arising economies like India, China, Japan, Singapore, and Australia. SMEs and organizations in the Asia Pacific locale are broadly taking on Data-Centric security answers for shielding critical and touchy business information from digital dangers, business secret activities, and abuse of information.

The Data-Centric security market in North America is projected to extend at a fast speed during the gauge time frame. This can be credited to the presence of larger part of the market players and the developing need to guarantee information security, predominance, and heredity across organizations.

Key Players

NextLabs Inc.
Orange Cyberdefense
Varonis Systems

The following are some of the reasons why you should Buy a Data-centric Security market report:

  • The Report looks at how the Data-centric Security industry is likely to develop in the future.
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  • It identifies recent advancements, Data-centric Security market shares, and important market participants’ tactics.
  • It examines the competitive landscape, including significant firms’ Data-centric Security market share and accepted growth strategies over the last five years.
  • The research includes complete company profiles for the leading Data-centric Security market players, including product offers, important financial information, current developments, SWOT analysis, and strategies.

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Tue, 02 Aug 2022 00:40:00 -0500 Newsmantraa en-US text/html
Killexams : Intelligent Video (IV) Market Size, Share to present lucrative growth opportunities over 2022-2028

The MarketWatch News Department was not involved in the creation of this content.

Jun 29, 2022 (Market Insight Reports) -- The latest Intelligent Video (IV) Market Analysis is designed to help clients Strengthen their market position, and in line with this, this report provides a detailed analysis of several leading Intelligent Video (IV) market Key Players including IBM, Cisco Systems, Inc., Robert Bosch GmbH, Axis Communications AB, Siemens, Honeywell International, Inc., Panasonic, Verint Systems, Avigilon, Agent Video Intelligence, Inc., Objectvideo, Inc., Advantech, Infinova, Qognify, PureTech Systems, IntelliVision, VCA Technology, and Others. Also, the Intelligent Video (IV) market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

Our Experts will help you get valuable insights about Intelligent Video (IV) market share, size, and regional growth prospects. Available Other Related Market Research Reports

Sample PDF Report at-

Intelligent Video (IV) Market showcases an in-depth analysis of the overall Intelligent Video (IV) market in terms of market size, upstream situation, price & cost, industry environment, segmentation for Intelligent Video (IV) providers, end-users, geographies, and analysis up to 2028. In addition, the report outlines the factors driving industry growth and the description of market channels.

This has brought along several changes in this report also covers the impact of COVID-19 on the global market.

The market research report covers the analysis of key stakeholders of the Intelligent Video (IV) market. Some of the leading players profiled in the report include: IBM, Cisco Systems, Inc., Robert Bosch GmbH, Axis Communications AB, Siemens, Honeywell International, Inc., Panasonic, Verint Systems, Avigilon, Agent Video Intelligence, Inc., Objectvideo, Inc., Advantech, Infinova, Qognify, PureTech Systems, IntelliVision, VCA Technology

The research insights presented in this report are backed by a deep understanding of key insights gathered from both secondary and primary research. The opinions and insights presented in the Intelligent Video (IV) market report were influenced by discussions held with several players in this industry. the Intelligent Video (IV) market report highlights the key players and manufacturers and the latest strategies including new product launches, partnerships, joint ventures, technology, segmentation in terms of region and industry competition, profit and loss ratio, and investment ideas. A precise evaluation of effective manufacturing techniques, advertisement techniques, Intelligent Video (IV) market share, size, growth rate, revenue, sales, and value chain analysis.

The 'Global Intelligent Video (IV) Market Research Report' is a comprehensive and informative study on the current state of the Global Intelligent Video (IV) Market industry with emphasis on the global industry. The report presents key statistics on the market status of the global Intelligent Video (IV) market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

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Camera-based Systems

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BFSI Sector

Government and Public Sector

Industrial Sector

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Regional Intelligent Video (IV) Market (Regional Output, Demand & Forecast by Countries):-
North America (United States, Canada, Mexico)
South America ( Brazil, Argentina, Ecuador, Chile)
Asia Pacific (China, Japan, India, Korea)
Europe (Germany, UK, France, Italy)
Middle East Africa (Egypt, Turkey, Saudi Arabia, Iran) And More.

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The report is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers and partners, end-users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

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4. Analysis of various perspectives of the market with the help of Porter's five forces analysis.
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Wed, 29 Jun 2022 03:06:00 -0500 en-US text/html
Killexams : Get to Know Jimmy Tsang, Pondurance VP of Marketing

The post Get to Know Jimmy Tsang, Pondurance VP of Marketing appeared first on Pondurance.

*** This is a Security Bloggers Network syndicated blog from Blog | Pondurance authored by Pondurance. Read the original post at:

Tue, 02 Aug 2022 00:00:00 -0500 by Pondurance on August 2, 2022 en-US text/html Killexams : Boomi Wins Awards for Best CEOs for Diversity and Best Company for Career Growth, Ranking Top 50 in the Largest Company Category Boomi Wins Awards for Best CEOs for Diversity and Best Company for Career Growth, Ranking Top 50 in the Largest Company Category
Boomi (BusinessWire India)
Business Wire India
  • David Meredith wins Best CEOs for Diversity award for second consecutive year; joins other top 2022 CEO honorees from Microsoft and Adobe
  • The awards follow a $4 billion transaction to become a standalone company, and recent leadership appointments as part of a global focus on hiring several hundred new Boomi team members to support the company’s rapid customer growth

BoomiTM, the intelligent connectivity and automation leader, today claims two awards from Comparably, a leading workplace culture and corporate brand reputation platform, in their largest company category along with other 2022 honorees such as Microsoft, Adobe, IBM, Uber, and SADA. Honored with the Best CEOs for Diversity and Best Company for Career Growth awards – based on anonymous employee feedback from its more than 1,700 global employees – Boomi ranks among the top 50 largest companies for its commitments to, and achievements in, diversity and career advancement.


This press release features multimedia. View the full release here:

Boomi Wins Comparably Awards for Best CEOs for Diversity and Best Company for Career Growth in Largest Company Category (Graphic: Business Wire)

Boomi Wins Comparably Awards for Best CEOs for Diversity and Best Company for Career Growth in Largest Company Category (Graphic: Business Wire)

“At Comparably we reward transparency in the workplace,” said Jason Nazar, co-founder and CEO at Comparably. “These awards empower employees to share personal insights about their company’s culture, rewarding and highlighting companies like Boomi, that do great work and set up their employees for success.”


Comparably selected the winners by evaluating over 15 million anonymous employee ratings across 70,000 of the largest companies. Boomi employees ranked their professional development opportunities, such as meaningful career advancement, mentorship, and valuable feedback, as high, which led to Boomi’s recognition among Best Companies for Career Growth. In awarding Best CEOs for Diversity to Boomi, Comparably evaluated ratings of Meredith from Boomi’s employees of color. The 2022 award for Meredith marks his second consecutive year receiving this important designation.


“As a category-leading, high growth, global software as a service (SaaS) company, Boomi strives to create and maintain a world-class employee experience,” said Shawn Maurice, Chief Human Resources Officer at Boomi. “We live by our motto of ‘hiring good humans’ and our unique, core values of Go Beyond, Play for Each Other, Create Awesome Things, Own It, and Build Trust. Boomi’s success ultimately lies in the hands of our team members, and we prioritize creating and nurturing an environment that supports their development and well-being, as well as encouraging them to be bold and find innovative, new solutions to challenges. These awards validate Boomi’s celebrated company culture as we continue to invest in our people.”


As the pioneer and category leader of cloud-native integration platform as a service (iPaaS), Boomi recently surpassed 20,000 customers, setting an industry record for largest customer base among iPaaS vendors. The company boasts a growing user community of over 100,000 members, a worldwide network of more than 800 partners, and one of the largest arrays of global system integrators (GSIs) in the iPaaS space. Boomi’s low-code platform helps organizations across all industries connect data applications, streamline workflows, and deliver more integrated customer experiences.


Boomi has been positioned as a Leader in the Gartner® Magic Quadrant™ for Enterprise Integration Platform as a Service (EiPaaS) for eight consecutive years.


The company recently received the Gold Globee® Award in the Platform as a Service (PaaS) category, and has garnered numerous awards for being an employer of choice, including a recent listing as one of Inc. Magazine’s Best Workplaces.


For a list of open positions on the Boomi team, visit the careers page on the Boomi website.


Additional Resources


Gartner Disclaimer:
Gartner, Magic Quadrant for Enterprise Integration Platform as a Service, Eric Thoo, Keith Guttridge, Bindi Bhullar, Shameen Pillai, Abhishek Singh, September 29, 2021


Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER and Magic Quadrant are registered trademarks and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Note: Boomi was recognized as Dell Boomi from 2014 to 2019.


About Boomi
Boomi instantly connects everyone to everything, anywhere with its cloud-native, unified, open, and intelligent platform. Boomi's integration platform as a service (iPaaS) is trusted by more than 20,000 customers globally for its speed, ease-of-use, and lower total cost of ownership. As the pioneer at fueling intelligent use of data, Boomi's vision is to make it quick and easy for customers and partners to discover, manage, and orchestrate data, while connecting applications, processes, and people for better, faster outcomes. For more information, visit


About Comparably
Comparably is a leading workplace culture and corporate brand reputation platform with over 15 million anonymous employee ratings on 70,000 companies. With the most comprehensive data on large and SMB organizations in nearly 20 different workplace categories – based on gender, ethnicity, age, experience, industry, location, education – it is one of the most used SaaS platforms for employer branding and a trusted third party site for workplace culture and compensation. For more information on Comparably’s studies and annual Best Places to Work Awards, visit Comparably News.


About Comparably Awards
Comparably Awards is an annual series highlighting the best companies and CEOs in 16 different workplace culture categories throughout the year. Since launching in late 2017, the awards have always been based solely on sentiment feedback provided by current employees who anonymously rated their employers on during a 12- month look-back period. Employees can answer structured questions (in yes/no, true/false, 1-10 scale, and multiple choice formats) spanning 16 different workplace topics. Each answer is then given a numerical score and compared to companies of similar size. The final data set of winners are compiled from over 15 million ratings across 70,000 companies.


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