Mediaboss Marketing

Signaling its ongoing commitment to collaboration in the areas of artificial intelligence and data science, the University of Florida is participating in an academic conference to address the potential of artificial intelligence, robotics and automation in agriculture.

The conference, titled Envisioning 2050 in the Southeast: AI-driven Innovations in Agriculture, is hosted March 9-11 by the Auburn University College of Agriculture and funded by the U.S. Department of Agriculture National Institute of Food and Agriculture.

Conference speakers include Hendrik Hamann, a distinguished research staff member and chief scientist for the future of climate in IBM Research; Mark Chaney, engineering manager of the automation delivery teams at Intelligent Solutions Group at John Deere; Steven Thomson, a national program leader with the USDA National Institute Food and Agriculture; and dozens more.

Speakers from academia, the federal government and industry will share their work in areas such as crop production, plant and animal breeding, climate, agricultural extension, pedagogy, food processing and supply chain, livestock management and more.

The Envisioning 2050 in the Southeast: AI-Driven Innovations in Agriculture conference will bring together academics, industry and stakeholders to share their expertise and develop a vision for the future, said Arthur Appel, interim associate dean of research for the Auburn College of Agriculture. Attendees will be able to learn about the depth and breadth of AI in agriculture from the experts who are making the promise of AI a reality.

Kati Migliaccio, co-organizer of the conference and chair of the Department of Agricultural and Biological Engineering at the University of Florida, said the timing of the conference is perfect.

This is an opportune time to host this conference focusing on AI in agriculture in the Southeast because of the resources invested in AI, the state of innovation of AI in agriculture and the critical need to adapt agriculture for current world challenges, including labor, nutrition, energy and climate, she said.

In November, the chief academic officers of the 14 member universities in the Southeastern Conference (SEC) announced formation of an artificial intelligence and data science consortium for workforce development, designed to grow opportunities in the fast-changing fields of AI and data science.

Believed to be the first athletics conference collaboration to have such a focus, the SEC Artificial Intelligence Consortium enables SEC universities to share educational resources, such as curricular materials, certificate and degree program structures, and online presentations of seminars and courses; promote faculty, staff, and student workshops and academic conferences such as todays event at Auburn; and seek joint partnerships with industry.

Joe Glover, provost and senior vice president for academic affairs at the University of Florida, which is leading the SEC-wide effort, said, AI is changing nearly every sector of society, and the SEC is uniquely positioned to engage students, faculty, and staff in one of the most transformational opportunities of our time. The combined strength of our institutions gives us the opportunity to advance in how we process the future of teaching and learning, research and economic development and how we can provide leadership at this critical moment when AI and data science are changing the way we think about small tasks and big questions.

The Auburn University office of communications and marketing and the SEC communications office contributed to this story.

Read the original post:
Universities meet to discuss future of AI and data science in agriculture - University of Florida

Research and innovation in artificial intelligence in the technology and communications sector has declined in the last year, data from GlobalData shows.

The most recent figures show that the number of AI related patent applications in the industry stood at 1,392 in the three months ending January down from 5,340 over the same period in 2020.

Figures for patent grants related to AI followed a similar pattern to filings shrinking from 2,601 in the three months ending January 2020 to 367 in the same period in 2021.

!function(){use strict;window.addEventListener(message,(function(e){if(void 0!==e.data[datawrapper-height]){var t=document.querySelectorAll(iframe);for(var a in e.data[datawrapper-height])for(var r=0;r

The figures are compiled by GlobalData, who track patent filings and grants from official offices around the world. Using textual analysis, as well as official patent classifications, these patents are grouped into key thematic areas, and linked to key companies across various industries.

AI is one of the key areas tracked by GlobalData. It has been identified as being a key disruptive force facing companies in the coming years, and is one of the areas that companies investing resources in now are expected to reap rewards from.

The figures also provide an insight into the largest innovators in the sector.

Huawei Investment & Holding Co Ltd was the top AI innovator in the technology and communications sector in the latest quarter. The company, which has its headquarters in China, filed 115 AI related patents in the three months ending January. That was down from 196 over the same period in 2020.

It was followed by the United States based Alphabet Inc with 100 AI patent applications, the United States based International Business Machines Corp (99 applications), and the United States based Intel Corp (77 applications).

!function(){use strict;window.addEventListener(message,(function(e){if(void 0!==e.data[datawrapper-height]){var t=document.querySelectorAll(iframe);for(var a in e.data[datawrapper-height])for(var r=0;r

Telefonaktiebolaget LM Ericsson has recently ramped up R&D in AI. It saw growth of 38.9% in related patent applications in the three months ending January compared to the same period in 2020 the highest percentage growth out of all companies tracked with more than 10 quarterly patents in the technology and communications sector.

Read more from the original source:
Artificial intelligence innovation among tech industry companies has dropped off in the last year - Verdict

Artificial Intelligence market report offers a great understanding of the current market situation with the historic and projected upcoming market size based on technological growth, value and volume, projecting cost-effective and leading fundamentals in the market. A worldwide market analysis document performs comprehensive study about industry and tells about the market status in the forecast period. This report studies the potential and prospects of the market in the present and the future from various points of views. Artificial Intelligence business report is a comprehensive analysis on the study of industry that gives number of market insights.

Artificial Intelligence Market report, the global market is expected to witness a relatively higher growth rate during the forecast period. The Artificial Intelligence market emphases on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis. Both established and new players in the industry can use this report for complete understanding of the market. Analysis and Consumer Needs by major regions, types, applications in Global market considering the past, present and future state of the Artificial Intelligence industry.

Download PDF Sample Report | All Related Graphs & Charts Athttps://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-market

Artificial Intelligence Market accounted for USD 16.14 billion in 2017 and is projected to grow at a CAGR of 37.3% the forecast period . artificial intelligence field holds secure development prospects, inferable from which, the key players are concentrating on building up an incorporated arrangement including equipment and programming. Moreover, to grow their client achieve, a few merchants have teamed up with wholesalers and end clients for item appropriation.

Artificial Intelligence Market Report covers the manufacturers data, including shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including Artificial Intelligence market size, volume and value, as well as price data.

Top Companies Profiled in this Report includes:

Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries.

The global artificial intelligence market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run.

Speak To Our Analyst/Experts Athttps://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=global-artificial-intelligence-market

Report Scope: Artificial Intelligence Market

Artificial Intelligence Market Outlook By Offering:

Hardware, Software and Services

Artificial Intelligence Market Outlook By Technology :

Machine Learning, Natural Language Processing and others

Artificial Intelligence Market Outlook By Type :

Artificial Neural Network, Digital Assistance System and others

Artificial Intelligence Market Outlook by Applications:

Deep Learning, Smart Robots and others

Artificial Intelligence Market Outlook By End-User Industry:

Healthcare, Manufacturing and others

Artificial Intelligence Market Outlook By Regional Analysis :

North America Europe Asia-Pacific South America Middle East and Africa

The report includes market shares of artificial intelligence market for global, Europe, North America, Asia Pacific and South America.

Table Of Contents Is Instantly Available athttps://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-market

Core Objectives of Artificial Intelligence Market research

To analyze globalArtificial Intelligencestatus, future forecast, growth opportunity, key market and key players. To present theArtificial Intelligencedevelopment in United States, Europe and China. To strategically profile the key players and comprehensively analyze their development plan and strategies. To define, describe and forecast the market by product type, market and key regions.

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market.

Contact:

US: +1 888 387 2818

UK: +44 208 089 1725

Hong Kong: +852 8192 7475

[emailprotected]

Visit link:
Artificial Intelligence Market Analysis And Growth Forecast By Applications, Sales, Size, Types And Competitors By 2022-2028 - Digital Journal

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.

Get Sample Copy of this report with latest Industry Trend and COVID-19 Impact @: https://www.a2zmarketresearch.com/sample-request/569954

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:

For Any Query or Customization: https://www.a2zmarketresearch.com/ask-for-customization/569954

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

Buy Exclusive Report: https://www.a2zmarketresearch.com/checkout/569954/single_user_license

About A2Z Market Research:

The A2Z Market Research library provides syndication reports from market researchers around the world. Ready-to-buy syndication Market research studies will help you find the most relevant business intelligence.

Our Research Analyst Provides business insights and market research reports for large and small businesses.

The company helps clients build business policies and grow in that market area. A2Z Market Research is not only interested in industry reports dealing with telecommunications, healthcare, pharmaceuticals, financial services, energy, technology, real estate, logistics, F & B, media, etc. but also your company data, country profiles, trends, information and analysis on the sector of your interest.

Contact Us:

Roger Smith

1887 WHITNEY MESA DR HENDERSON, NV 89014

[emailprotected]

+1 775 237 4147

Go here to see the original:
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.

[View source.]

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