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Artificial Intelligence For IT Operations Platform Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.

The Global Artificial Intelligence For IT Operations Platform Market is expected to grow at a significant CAGR of 21% by 2028.

Artificial intelligence platform for IT operations (AIOps) refers to the artificial intelligence platform for IT operations. It combines human intelligence with automated algorithms to provide complete visibility into IT systems performance.

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Prominent players in the global Artificial Intelligence For IT Operations Platform market are consistently pouring funds into the research and development of next-generation healthcare IT solutions. These players are keen on expanding their foothold in cloud-based Artificial Intelligence For IT Operations Platform solutions. Some of the top key players of this market are AppDynamics, BMC Software, Inc., Broadcom, HCL Technologies Limited, International Business Machines Corporation, Micro Focus, Moogsoft, ProphetStor Data Services, Inc., Resolve Systems, Splunk, VMware,.

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence For IT Operations Platform market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market.

Impact of COVID-19 on Artificial Intelligence For IT Operations Platform Market :COVID-19 is an unparalleled global public health emergency that has affected almost every industry and its long-term impact is expected to impact the industry growth over the forecast period. Artificial Intelligence For IT Operations Platform Market Reports provide insight into COVID-19, taking into account changes in consumer behavior and demand, purchasing patterns, rerouting supply chains, current market dynamics, and significant government interventions. The updated study provides insights, analysis, estimations and forecasts considering the impact of COVID-19 on the market.

Global Artificial Intelligence For IT Operations Platform Market Segmentation:

Market Segmentation: By Type

Advanced AnalyticsMachine LearningNatural Language Processing (NLP)Other

Market Segmentation: By Application

IT InfrastructureApplication Performance Monitoring (APM)Real-time AnalyticsNetwork SecurityOther

Global Artificial Intelligence For IT Operations Platform Market research report offers:

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The key regional markets methodically examined in the research report are North America, Europe, Japan, China, India, and Southeast Asia. North America is expected to represent a substantial share in the market during the forecast period. The growth of the region is primarily driven by the healthcare IT market in the U.S., which is one of the most prominent and mature markets worldwide. The stringent regulatory norms and Artificial Intelligence For IT Operations Platform incentivizing policies in the region are prompting hospitals and clinics in the region to implement Artificial Intelligence For IT Operations Platform solutions.

The cost analysis of the Global Artificial Intelligence For IT Operations Platform Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

Table of Contents

Global Artificial Intelligence For IT Operations Platform Market Research Report 2022 2028

Chapter 1 Artificial Intelligence For IT Operations Platform Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Artificial Intelligence For IT Operations Platform Market Forecast

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Artificial Intelligence For IT Operations Platform Market Scope and overview, To Develop with Increased Global Emphasis on Industrialization 2029 |...

As insurers consider augmenting the quoting process with algorithmic predictive models, including those aided by artificial intelligence, machine learning, and/or robotic process automation (Models) for which core inputs are, or could be considered, a consumer report, one question that may arise is whether the Fair Credit Reporting Act, 15 U.S.C. 1681-1681x (the FCRA) dictates the distribution of an adverse action notice when a Model is not implemented for the purpose of making coverage and rating decisions (determining whether to accept or decline a particular risk or the premium charged), but instead for the purpose of determining whether other actions can be taken with respect to consumers like routing applicants to certain payment methods or other designations unrelated to coverage and rating decisions (administrative decisions).

Under the FCRA, an adverse action can mean different things in the context of different industries or uses. In the context of insurance, an adverse action is defined to mean a denial or cancellation of, an increase in any charge for, or a reduction or other adverse or unfavorable change in the terms of coverage or amount of, any insurance, existing or applied for, in connection with the underwriting of insurance."1 Under a different section of the FCRA, If any person takes any adverse action with respect to any consumer that is based in whole or in part on any information contained in a consumer report that person must, among other things, provide an adverse action notice to the consumer.2

A consumer report is defined to mean any written, oral, or other communication of any information by a consumer reporting agency bearing on a consumer's credit worthiness, credit standing, credit capacity, character, general reputation, personal characteristics, or mode of living which is used or expected to be used or collected in whole or in part for the purpose of serving as a factor in establishing the consumer's eligibility for . . . (A) credit or insurance to be used primarily for personal, family, or household purposes; or . . . (C) any other purpose authorized [as a permissible purpose of consumer reports]"3 The permissible purposes of consumer reports include, in relevant part, the furnishing of a consumer report by a consumer reporting agency to a person which it has reason to believe . . . intends to use the information in connection with the underwriting of insurance involving the consumer."4

First, insurers should consider whether an administrative decision could be considered [1] an increase in any charge for . . . or other adverse or unfavorable change in the terms of coverage . . . applied for, [2] in connection with the underwriting of insurance.

An administrative decision could be considered an increase in the charge for coverage, because applicants subject to an administrative decision could be giving more value for the same level of coverage in some way. Such additional value could be minimal to the point of appearing nominal, but could theoretically be construed as an increase.

An administrative decision could be considered an adverse or unfavorable change in the terms of coverage, because the burden of having to pay premium in a different way or obtain or interact with their coverage in a different way could be construed as adverse or unfavorable from the perspective of the applicant. In many circumstances, particularly those affecting applicants with fewer resources, paying more at one time or in a different manner could mean the applicant has less funds on hand to contribute to other needs. An administrative decision could therefore be considered adverse or unfavorable.

Depending on the nature of the administrative decision, it could be construed as being undertaken in connection with the underwriting of insurance. The only permissible purpose for which a consumer report may be provided to an insurer is to use the information in connection with the underwriting of insurance. Further, it seems counterintuitive that the legislative intent of the FCRA would be to permit the provision of consumer reports without the attachment of attendant restrictions and obligations like the FCRAs requirements in respect of adverse actions.

As stated above, according to the FCRA, if any person takes any adverse action with respect to any consumer that is based in whole or in part on any information contained in a consumer report the person must, among other things, provide an adverse action notice to the consumer.5 Insurers must therefore consider whether an administrative decision could be construed as being (1) based in whole or in part on (2) any information contained in a consumer report.

The phrase based in whole or in part on has been interpreted to apply only when there is a but-for causal relationship. An adverse action is not considered to be based in whole or in part on the consumer report unless the report was a necessary condition of the adverse action.6

Under certain caselaw, the baseline or benchmark for considering whether there has been a disadvantageous increase in rate (and, therefore an adverse action requiring notice to the applicant) has been interpreted to be what the applicant would have had if the company had not taken his[/her] credit score into account."7It may be that the only purpose of a Models use of a consumer report is to determine whether an administrative decision will be engaged. In that case, the baseline could be considered to be the absence of the result of the administrative decision. In other words, without use of the Model that integrates the consumer report, there might not be any possibility of the administrative decision impacting the applicant.

An insurer must analyze whether particularized information used in a Model has been obtained from a consumer reporting agency based on the insurers permissible purpose. An insurer should also analyze whether the information is: (i) a written communication of information derived from a consumer reporting agency; (ii) bearing on a consumer's credit worthiness, credit standing, credit capacity, character, general reputation, personal characteristics, or mode of living; (iii) which is used or expected to be used or collected in whole or in part for the purpose of serving as a factor in establishing the consumer's eligibility for insurance to be used primarily for personal, family, or household purposes.

Finally, an insurer should consider whether the above analysis would differ or whether additional considerations arise out of state insurance scoring laws promulgated based on the National Council of Insurance Legislators Model Act Regarding Use of Credit Information in Personal Insurance (NCOIL Model). The NCOIL Model defines what constitutes an insurance score (which is similar to the FCRAs definition of consumer report), what constitutes an adverse action in respect of such insurance scores (which is similar to the FCRAs definition of adverse action), and when an adverse action notice must be sent in respect of such adverse actions (which trigger language is similar to the FCRAs trigger language). This analysis will depend on the state-specific implementation of the NCOIL Model (where applicable), or on other related state laws and regulations addressing this subject matter (for those states that have not adopted some form of the NCOIL Model).

Of course, in analyzing these issues, insurers should consult extensively with insurance and federal regulatory counsel as to the specific nature of the administrative decisions, how Models are created and used, and what the impact of such administrative decisions and Models are on applicants and consumers.

1 15 U.S.C.A. 1681a(k)(1)(B)(i).

2 15 U.S.C.A. 1681m(a).

3 15 U.S.C.A. 1681a(d)(1)(A) and (C).

4 15 U.S.C.A. 1681b(a)(3)(C).

515 U.S.C.A. 1681m(a).

6 Safeco Ins. Co. of Am. v. Burr, 551 U.S. 47, 63, 127 S. Ct. 2201, 2212, 167 L. Ed. 2d 1045 (2007). This case is also sometimes referred to as Geico v. Edo.

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When Might the Use of AI, Machine Learning, or Robotic Process-Enabled Insurance Models Result In an Adverse Action under the FCRA? - JD Supra

While still a relatively new tool in healthcare, artificial intelligence (AI) and machine learning (ML) technologies pose immense opportunities to drive industry-wide transformational advancement. Yet, we have a long way to go as medical devices become more complex and paradigms for developing AI algorithms are not transferable from the consumer to the clinical space.

Given the promise AI and ML offer in improving patient care and the challenges facing medical device engineers face as they adapt and refine these capabilities, the conference at Medical Design and Manufacturing (MD&M) West is heavily focused on ideating powerful solutions that will advance the maturation of healthcares advanced technologies. Slated to take place April 12-14 at the Anaheim Convention Center, MD&M West runs in tandem with four other engineering trade shows WestPack, ATX West, D&M West, and Plastec West, providing attendees access to a five-in-one design and manufacturing event and the Design. Engineer. Build. conference that connects multiple verticals and industries.

With the event on the near horizon, I spoke with renowned medtech expert and prominent MD&M West speaker Siddharth Desai, president of HealthCare Evolution. We discussed industry trends and what attendees can look forward to learning in his technical and forward-looking session.

Desai: AI and ML are invading the classical new product development domain in various ways and will change the future of medical devices. AI is an interdisciplinary approach to provide intelligence in diagnosis, treatment, and post-treatment assessment of the clinical challenges. This discipline is based on the development of firmware and algorithms; the medical devices are learning and able to provide an efficient diagnosis of the desired treatments and recommend and enable the clinician/healthcare provider solutions.

These treatments are viable because of the analytical capabilities, computing power, and firmware algorithms developed by the most brilliant engineers and scientists. So, these capabilities are incorporated in the medical devices as incremental features to the base devices and are added as modules or incorporated as separate devices. The applications for the AI systems are diverse and across the entire field of healthcare: "smart implants"that assess and enhance a total knee arthroplasty and the recovery from the treatment;"smart algorithms" that improve the ability to diagnose tumors, enhance the image of malignant tumors, and enable more effective treatments in endoscopy;"smart AI powered"infusion treatments that provide efficient dosage for a specific treatment to the clinician and the pharmacists;"smart"data analytics that renders the suggested optimumtreatment to a clinician:and the patient who can use the AI reports to improve personal healthcare. AI/ML/DL is a vast opportunity and can be applied in the vast domain of healthcare.

Desai: Since the discipline is emerging, the challenges are unique to its applicability. First and foremost is the idea that a "smart machine"can replace a clinician. Working with key opinion leaders and everyday clinicians, we realize there is a certain level of skepticism. Clinicians go through multi-year training and hands-on work to get comfortable with the clinical practices. So, the adaption curve and overall success will be based on solid AI/ML/DL answers.

Secondly, the discipline must prove itself! While bold predictions can be made, the clinical space and human beings are unique, and the ability to predict the outcome at large will be a unique challenge. If the model developed by the engineers is inadequate or incorrect, the AI solutions may have serious consequences. So, in the seminar, we will discuss the critical success factors, planning for the solutions, and relevant case studies. We also define the basics of a business case to assess the opportunities.

Desai: Ours is a directly relevant session for those involved in the planning, development, and management of medical device innovation. We have a fantastic lineup of speakers who will discuss the best practices and share their experiences in medical device design and development.

The speakers will discuss and share their product design and development expertise from the entire product lifecycle, from concept to product launches. We will discuss critical aspects of development processes: capturing user inputs, detailed design and development processes and lessons learned, material selection processes, learning from world-renowned experts in TAVR development, and the essence of artificial intelligence. We will make this session an interactive, relevant, and exciting place. Our mission is to learn and share our experiences such that the attendees have a good learning experience as well as have some fun.

Desai: I have been involved in the medical device industry since 1983. Having worked for startups to large corporations, I have enjoyed being a catalyst for change. The industry has been equally kind to me; I have enjoyed success as a contributor to a leader. I feel obligated to learn and give back! Improving human lives excites me and enables me to think in the box and outside the box. It continues to challenge me to learn new things.

I am excited to share our session, my personal experiences, and meet and learn from fellow conference participants. The pandemic has had an impact on all of our lives. But, as life returns to normal due to the innovation of vaccines, the medical diagnosis industry with COVID-19 testing and facemask development is the direct contribution by our industry. We intend to share critical lessons learned, delve into innovation that is underway, and discuss the future as we can envision in 2022 and beyond.

To tune into Siddharths presentation Artificial Intelligence Platforms and Next-Gen Applications & Use Cases, register to attend MD&M West here.

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Your Medical Device is Getting Smarter and More Reliable! - Medical Device and Diagnostics Industry

LAS VEGAS--(BUSINESS WIRE)--Tachyum was highlighted as one of the Most Innovative Artificial Intelligence Solutions Providers to Watch by The Enterprise World and earned the featured cover story with an in-depth discussion about the company, its leadership, vision of the industry and the AI attributes of its Prodigy universal processor.

The Enterprise World, with its wide topics for every month, brings to readers new and changing trends in business, market growth, changing government reforms and the growing customer base of a particular industry. As part of each issue, the magazine features the success stories of people from the enterprise world with exclusive interviews that will help readers learn different and efficient ways to run their businesses. Tachyum is featured in the latest issue with an in-depth profile of the company, its founder and CEO Dr. Radoslav Danilak and how Prodigy is going to impact the future of AI.

As AI migrates to more sophisticated and control-intensive disciplines, such as Spiking Neural Nets, Explainable AI, Symbolic AI and Bio AI, Prodigy will deliver an order of magnitude better performance than its competitors, said Danilak. Prodigy-powered universal servers in hyperscale data centers, during off-peak hours, will deliver 10x more AI Neural Network training/inference resources than currently available and since the Prodigy-powered universal computing servers are already bought & paid for, the expense of operating such systems will be extremely low. I look forward to sharing details of our success in AI with readers of The Enterprise World.

Tachyums Prodigy processor can run HPC applications, convolutional AI, explainable AI, general AI, bio AI, and spiking neural networks, plus normal data center workloads, on a single homogeneous processor platform, using existing standard programming models. Without Prodigy, hyperscale data centers must use a combination of disparate CPU, GPU and TPU hardware, for these different workloads, creating inefficiency, expense, and the complexity of separate supply and maintenance infrastructures. Using specific hardware dedicated to each type of workload (e.g. data center, AI, HPC), results in underutilization of hardware resources, and more challenging programming, support, and maintenance. Prodigys ability to seamlessly switch among these various workloads dramatically changes the competitive landscape and the economics of data centers.

The article is available in the February 2022 issue of The Enterprise World.

Follow Tachyumhttps://twitter.com/tachyum https://www.linkedin.com/company/tachyum https://www.facebook.com/Tachyum/

About Tachyum

Tachyum is transforming AI, HPC, public and private cloud data center markets with Prodigy, the worlds first Universal Processor that delivers industry-leading performance, cost, and power efficiency for both specialty and general-purpose computing. When Prodigy processors are provisioned in a hyperscale data center, they enable all AI, HPC, and general-purpose applications to run on one hardware infrastructure, saving companies billions of dollars per year. A fully functional Prodigy emulation system is currently available to select customers and partners for early testing and software development. With data centers currently consuming over 3% of the planets electricity, predicted to be 10% by 2025, the ultra-low power Prodigy Universal Processor is critical if we want to continue doubling worldwide data center capacity every four years. Tachyum, Co-founded by Dr. Radoslav Danilak with its flagship product Prodigy, is marching towards tape out targeting Q2 2022, with software emulations and an FPGA-based emulator running native Linux available to early adopters. The company is building the worlds fastest 64 AI exaflops supercomputer in 2022 in the EU with Prodigy chips. Tachyum has offices in the United States and Slovakia. For more information, visit https://www.tachyum.com/.

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Tachyum Named Among the Most Innovative Artificial Intelligence Solutions Providers to Watch by The Enterprise World - Business Wire

While law enforcement agencies and a congressional committee work to investigate the Jan. 6, 2021, attacks on the U.S. Capitol, subsequent efforts seek to undermine the norms and structures that have given Americans basic confidence in elections and in the peaceful transfer of power.

Meanwhile, from statehouses to the U.S. Supreme Court, bitter debates rage over voting rights, access and security.

The University of Michigans Democracy in Crisis series will feature four award-winning journalists sharing their insights into the forces threatening and protecting democratic structures and systems.

It also will explore the current state of journalism and the role of the press in upholding democratic institutions at a time of demagogic attacks on the media and dramatic shifts in media ownership and independence.

Events include:

Here in the United States, and in many countries around the globe, democracy is being threatened, and journalists are standing up to raise the alarm. This series will help our community and the broader public understand whats at stake, and what they can do about it, Barr said.

Strong, free and open, ethical journalism is essential to a well-functioning democracy, LSA Dean Anne Curzan said. The series offers an opportunity to learn about the state of U.S. democracy as well as the state of political journalism from an insiders perspective.

Diminishing the role and work of journalists is a key tactic in undermining democracies, she said. Bringing visibility to the work of journalists is a necessary antidote to those efforts.

We look forward to giving our community a chance to engage with these experienced reporters in a way that cuts through the noise to prompt thoughtful civic engagement.

The series is a partnership of the Gerald R. Ford School of Public Policy, Wallace House and U-M Democracy & Debate 2021-22, and is co-hosted by the Gerald R. Ford Library and Museum, and the Gerald R. Ford Presidential Foundation.

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Democracy in Crisis series features insights from journalists | The University Record - The University Record