Mediaboss Marketing

DUBLIN, March 19, 2021 /PRNewswire/ -- The "Artificial Intelligence in Supply Chain Management Market by Technology, Processes, Solutions, Management Function (Automation, Planning and Logistics, Inventory, Risk), Deployment Model, Business Type and Industry Verticals 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

This report provides detailed analysis and forecasts for AI in SCM by solution (Platforms, Software, and AI as a Service), solution components (Hardware, Software, Services), management function (Automation, Planning and Logistics, Inventory Management, Fleet Management, Freight Brokerage, Risk Management, and Dispute Resolution), AI technologies (Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, and Machine Learning), and industry verticals (Aerospace, Automotive, Consumer Goods, Healthcare, Manufacturing, and others).

This is the broadest and detailed report of its type, providing analysis across a wide range of go-to-operational process considerations, such as the need for identity management and real-time location tracking, and market deployment considerations, such as AI type, technologies, platforms, connectivity, IoT integration, and deployment model including AI-as-a-Service (AIaaS). Each aspect evaluated includes forecasts from 2021 to 2026 such as AIaaS by revenue in China. It provides an analysis of AI in SCM globally, regionally, and by country including the top ten countries per region by market share.

The report provides an analysis of leading companies and solutions that are leveraging AI in their supply chains and those they manage on behalf of others, with an evaluation of key strengths and weaknesses of these solutions. It assesses AI in SCM by industry vertical and application such as material movement tracking and drug supply management in manufacturing and healthcare respectively. The report also provides a view into the future of AI in SCM including analysis of performance improvements such as optimization of revenues, supply chain satisfaction, and cost reduction.

Select Report Findings:

Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Supply Chain Management (SCM) solutions are typically manifest in software architecture and systems that facilitate the flow of information among different functions within and between enterprise organizations.

Leading SCM solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion. Various forms of Artificial Intelligence (AI) are being integrated into SCM solutions to improve everything from process automation to overall decision-making. This includes greater data visibility (static and real-time data) as well as related management information system effectiveness.

In addition to fully automated decision-making, AI systems are also leveraging various forms of cognitive computing to optimize the combined efforts of artificial and human intelligence. For example, AI in SCM is enabling improved supply chain automation through the use of virtual assistants, which are used both internally (within a given enterprise) as well as between supply chain members (e.g. customer-supplier chains). It is anticipated that virtual assistants in SCM will leverage an industry-specific knowledge database as well as company, department, and production-specific learning.

AI-enabled improvements in supply chain member satisfaction causes a positive feedback loop, leading to better overall SCM performance. One of the primary goals is to leverage AI to make supply chain improvements from production to consumption within product-related industries as well as create opportunities for supporting "servitization" of products in a cloud-based "as a service" model. AI will identify opportunities for supply chain members to have greater ownership of "outcomes as a service" and control of overall product/service experience and profitability.

With Internet of Things (IoT) technologies and solutions taking an ever-increasing role in SCM, the inclusion of AI algorithms and software-driven processes with IoT represents a very important opportunity to leverage the Artificial Intelligence of Things (AIoT) in supply chains. More specifically, AIoT solutions leverage the connectivity and communications power of IoT, along with the machine learning and decision-making capabilities of AI, as a means of optimizing SCM by way of data-driven managed services.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction2.1 Supply Chain Management2.1.1 Challenges2.1.2 Opportunities2.2 AI in SCM2.2.1 Key AI Technologies for SCM2.2.2 AI and Technology Integration

3.0 AI in SCM Challenges and Opportunities3.1 Market Dynamics3.1.1 Companies with Complex Supply Chains3.1.2 Logistics Management Companies3.1.3 SCM Software Solution Companies3.2 Technology and Solution Opportunities3.2.1 Leverage Artificial Intelligence (AI)3.2.1.1 Integrate AI with Existing Processes3.2.1.2 Integrate AI with Existing Systems3.2.2 Integrate AI with Internet of Things (IoT)3.2.2.1 Leverage AIoT Platforms, Software, and Services3.2.2.2 Leverage Data as a Service Providers3.3 Implementation Challenges3.3.1 Management Friction3.3.2 Legacy Processes and Procedures3.3.3 Outsource AI SCM Solution vs. Legacy Integration

4.0 Supply Chain Ecosystem Company Analysis4.1 Vendor Market Share4.2 Top Vendor Recent Developments4.3 3M4.4 Adidas4.5 Amazon4.6 Arvato SCM Solutions4.7 BASF4.8 Basware4.9 BMW4.10 C. H.Robinson4.11 Cainiao Network (Alibaba)4.12 Cisco Systems4.13 ClearMetal4.14 Coca-Cola Co.4.15 Colgate-Palmolive4.16 Coupa Software4.17 Descartes Systems Group4.18 Diageo4.19 E2open4.20 Epicor Software Corporation4.21 FedEx4.22 Fraight AI4.23 H&M4.24 HighJump4.25 Home Depot4.26 HP Inc.4.27 IBM4.28 Inditex4.29 Infor Global Solutions4.30 Intel4.31 JDA4.32 Johnson & Johnson4.33 Kimberly-Clark4.34 L'Oreal4.35 LLamasoft Inc.4.36 Logility4.37 Manhattan Associates4.38 Micron Technology4.39 Microsoft4.40 Nestle4.41 Nike4.42 Novo Nordisk4.43 NVidia4.44 Oracle4.45 PepsiCo4.46 Presenso4.47 Relex Solution4.48 Sage4.49 Samsung Electronics4.50 SAP4.51 Schneider Electric4.52 SCM Solutions Corp.4.53 Splice Machine4.54 Starbucks4.55 Teknowlogi4.56 Unilever4.57 Walmart4.58 Xilinx

5.0 AI in SCM Market Case Studies5.1 IBM Case Study with the Master Lock Company5.2 BASF: Supporting smarter supply chain operations with cognitive cloud technology5.3 Amazon Customer Retention Case Study5.4 BMW Employs AI for Logistics Processes5.5 Intelligent Revenue and Supply Chain Management5.6 AI-Powered Customer Experience5.7 Rolls Royce uses AI to safely transport its Cargo5.8 Robots deliver medicine, groceries and packages with AI5.9 Lineage Logistics Company Case Study

6.0 AI in SCM Market Analysis and Forecasts 2021 - 20266.1 AI in SCM Market 2021 - 20266.2 AI in SCM by Solution 2021 - 20266.2.1 Platforms6.2.2 Software6.2.3 AI as a Service6.3 AI in SCM by Solution Components 2021 - 20266.3.1 Hardware6.3.1.1 Non-IoT Device6.3.1.2 IoT Embedded Device6.3.1.2.1 Security Devices6.3.1.2.2 Surveillance Robots and Drone6.3.1.2.3 Networking Devices6.3.1.2.4 Smart Appliances6.3.1.2.5 Healthcare Device6.3.1.2.6 Smart Grid Devices6.3.1.2.7 In-Vehicle Devices6.3.1.2.8 Energy Management Device6.3.1.3 Components6.3.1.3.1 Wearable and Embedded Components6.3.1.3.1.1 Real-Time Location System (RTLS)6.3.1.3.1.2 Barcode6.3.1.3.1.3 Barcode Scanner6.3.1.3.1.4 Barcode Stickers6.3.1.3.1.5 RFID6.3.1.3.1.6 RFID Tags6.3.1.3.1.7 Sensor6.3.1.3.2 Processors6.3.2 Software6.3.3 Services6.3.3.1 Professional Services6.4 AI in SCM by Management Function 2021 - 20266.4.1 Automation6.4.2 Planning and Logistics6.4.3 Inventory Management6.4.4 Fleet Management6.4.5 Virtual Assistance6.4.6 Freight Brokerage6.4.7 Risk Management and Dispute Resolution6.5 AI in SCM by Technology 2021 - 20266.5.1 Cognitive Computing6.5.2 Computer Vision6.5.3 Context-aware Computing6.5.4 Natural Language Processing6.5.5 Predictive Analytics6.5.6 Machine Learning6.5.6.1 Reinforcement Learning6.5.6.2 Supervised Learning6.5.6.3 Unsupervised Learning6.5.6.4 Deep Learning6.6 AI in SCM by Industry Vertical 2021 - 20266.6.1 Aerospace and Government6.6.2 Automotive and Transportation6.6.3 Retail and Consumer Electronics6.6.4 Consumer Goods6.6.5 Healthcare6.6.6 Manufacturing6.6.7 Building and Construction6.6.8 Others6.7 AI in SCM by Deployment 2021 - 20266.7.1 Cloud Deployment6.8 AI in SCM by AI System 2021 - 20266.9 AI in SCM by AI Type 2021 - 20266.10 AI in SCM by Connectivity6.10.1 Non-Telecom Connectivity6.10.2 Telecom Connectivity6.10.3 Connectivity Standard6.10.4 Enterprise6.11 AI in SCM Market by IoT Edge Network 2021 - 20266.12 AI in SCM Analytics Market 2021 - 20266.13 AI in SCM Market by Intent Based Networking 2021 - 20266.14 AI in SCM Market by Virtualization 2021 - 20266.15 AI in SCM Market by 5G Network 2021 - 20266.16 AI in SCM Market by Blockchain Network 2021 - 20266.17 AI in SCM by Region 2021 - 20266.17.1 North America6.17.2 Asia Pacific6.17.3 Europe6.17.4 Middle East and Africa6.17.5 Latin America6.18 AI in SCM by Country6.18.1 Top Ten Country Market Share6.18.2 USA6.18.3 China6.18.4 Canada6.18.5 Mexico6.18.6 Japan6.18.7 UK6.18.8 Germany6.18.9 South Korea6.18.10 France6.18.11 Russia

7.0 Summary and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/bxs2vn

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1907 Fax (outside U.S.): +353-1-481-1716

SOURCE Research and Markets

http://www.researchandmarkets.com

Continue reading here:
Worldwide Artificial Intelligence in Supply Chain Management Industry to 2026 - Featuring 3M, Adidas and Amazon - PRNewswire

Guruprasad Gaonkar

In 2020 our personal and professional relationships and perceptions have undergone a sea change and this includes our relationship with our money as well. According to a survey that Oracle did with personal finance expert Farnoosh Torabi, 83% of Indians (including business leaders) trust robots more than humans when it comes to managing their finances.

Some of the key India data that suggests this consequential shift reveals that 85% of Indian consumers believe that robots can help them with managing their finances. Responding to this change in consumer mindset, Indian business leaders, that is, 93% have shared that they have invested in digital payment capabilities and 81% have created new forms of customer engagement or changed their business models by embracing newer technologies. I am not surprised with the study as AI and ML are seeing unprecedented adoption, with the pandemic playing catalyst, says Kannan Sugantharaman, CFO, Omega Healthcare.

Around 90% of business leaders believe robots will replace finance professionals, and more than a third (67%) of them believe that itll happen by 2025. Guruprasad Gaonkar, Global SaaS Go-to-Market Leader, Cloud Business Group, Oracle, observes that many forward looking companies have already started the process by adopting AI powered ERP, with more radical transformation coming from the possibility of bringing it together with Blockchain. McDonalds and Wipro are some of companies that have already moved on from previously people dependent approach to eliminate manual guesswork specifically with enterprise performance management. Echoing the sentiment, Dinesh Modi, CFO, Cactus Communications, says that ERP cloud has given us the opportunity to work with technologies like robotic process automation (RPA) and streamline the process whereby the same team can deliver higher output.

Businesses will need to re-align themselves with the power of the trinity AI, IoT and Blockchain. Almost every activity that goes within the finance function across sectors can be planned and agreed upon within ERP cloud applications and then encrypted into an immutable ledger capable of executing different transactions autonomously and at a defined moment in time.

Its time to rethink the money management. Businesses need to provide new business models and payment methods that remove friction for customers. Sugantharaman foresees finance as a function undergoing transformation. Elements like Cost, Control and Compliance can be more efficiently managed by AI based tools today leaving business leaders and CFOs to tend to more strategic roles facilitating growth, investments, enablement and value creation through digital technologies.

In a nutshell, AI will transform the role of the CFO, introducing the touchless finance factory and the creation of a next generation workplace. As Gaonkar puts it, being technology enabled is a pass, being technology led is in vogue.

Get live Stock Prices from BSE, NSE, US Market and latest NAV, portfolio of Mutual Funds, Check out latest IPO News, Best Performing IPOs, calculate your tax by Income Tax Calculator, know markets Top Gainers, Top Losers & Best Equity Funds. Like us on Facebook and follow us on Twitter.

Financial Express is now on Telegram. Click here to join our channel and stay updated with the latest Biz news and updates.

Read more:
Artificial Intelligence & Finance: Two sides of the same coin in new normal - The Financial Express

In an attempt to make this possible, the Central Board of Secondary Education (CBSE) has introduced artificial intelligence as an individual subject for the 9th grade in the academic year of 2019-2020 and for the 11th grade in the academic year of 2020-2021 in all CBSE affiliated schools.

Artificial intelligence is already a part of the education system in the form of tools that help develop skills and testing systems. This technology can help drive efficiency, customization, and streamline administrative tasks to give teachers the time and freedom for better adaptability. By combining the best attributes of machines and teachers, the aim of artificial intelligence is to make everything work together seamlessly for the best outcomes that will benefit the students.

All AICTE (All India Council For Technical Education) approves institutions have been suggesting to offer artificial intelligence as an elective subject in B.Tech courses and also start individual B. Tech courses focusing on artificial intelligence and data science to augment the field of artificial intelligence and data analysis. So far, only the Indian Institutes Of Technology (IITs) can have their own curriculum, academic, and research collaborations with institutions and universities across the world, owing to their acts and statutes.

Most of these IITs offer many artificial intelligence-related courses like deep learning foundations and applications, the foundation of artificial intelligence and machine learning, reinforcement learning, probabilistic reasoning in artificial intelligence, predictive and prescriptive data analytics, deep learning, system identification, cyber-physical security, digital image processing, etc. Apart from these courses, IITs also conduct short-term programs on artificial intelligence for working professionals and other interested candidates.

All of the above information provided was given by the Union Minister For Education, India, Ramesh Pokhriyal in a written statement in the Lok Sabha.

Here is the original post:
Artificial Intelligence Will Become A Part Of The Indian School Curriculum - Analytics Insight

As the new administration staffs up and Capitol Hill lawmakers begin to contemplate post-pandemic priorities, countering Chinas advances in artificial intelligence and other disruptive technologies has emerged as a major driving force for US policymakers. This alert provides a summary of expected new AI-related legislation, an overview of a recent report by the National Security Commission on Artificial Intelligence, highlights of the Biden Administrations approach to technology/AI as well as the key AI-related policymakers in the Administration and in Congress.

Three developments in the last month signal a focused mindset of policymakers in Washington, DC to counter China on technology:

Washington sees maintaining and extending US leadership in technological innovation as a vital national security imperative, both:

While a strategic imperative to move fast and out-compete China is prevalent in the highest levels of the federal government, progressive elements of the Democratic majorities in the Congress may advocate for cautionary breaks and regulatory guardrails to this rapid technology development, such as AI algorithmic impact assessments, audits and penalties for developers of AI applications.Europeis currently considering some of the strictest AI regulations in the world today, and US policymakers will likely face pressure across the Atlantic to issue further guidance or even consider targeted, agency-specific regulations of high-risk AI applications.

AI and the great power competition

The March 1 NSCAI final report could be seen by some as a wake-up call since the report highlights that other nations are not standing idly by and thus some experts believethe Defense Department must move beyond the legacy systems that have defined military planning for decades. The findings, quarterly recommendations and stark conclusions of the report have reverberated in high-level defense and foreign policy circles and sounded the alarm to members of congress, staff and the general public.

Eric Schmidt, Chairman of the NSCAI, declared the AI competition with China is a national emergency and a threat to our nation unless we get our act together with respect to focusing on AI in the federal government and international security.

The 15-member Commission composed of technologists, business executives, academic leaders and national security professionals was created under the fiscal year 2019 National Defense Authorization Act (NDAA) to consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States.

Among the NSCAI reports takeaway headlines:

The Commissioners focused on four pillars for immediate action:

Many of these recommendations, which span the entire federal government, have a good shot at serious legislative consideration, with the fiscal year 2022 National Defense Authorization Act being the most likely vehicle to carry many of the policy proposals.

New administration, similar competitive tech concerns about China

While President Biden has used his executive powers to reverse a host of policies enacted by his predecessor, one area of potential continuity from the Trump era is an aggressive posture towards China.

Other Biden Administration technology/AI initiatives and personnel

The pending rule is part of a broader effort to secure US supply chains, bolster US manufacturing and enhance the role of science, particularly at a time when a global shortage of semiconductor chips is causing severe production cutbacks in automotive and consumer electronics manufacturing.

President Biden hasannounceda number of appointments and nominations of officials who will take leading roles on AI and related issues and has raised the profile of key posts with jurisdiction over cyber and technology issues.

In his first major speech as Americas top diplomat, Secretary of State Anthony Blinken said:

Advancing US tech to counter China a big priority on Capitol Hill

Senator Schumer, leader of the newly minted Democratic majority in the Senate, has directed the chairs and members of our relevant committees to start drafting a legislative package to out-compete China and create new American jobs.

Congress laid some of the groundwork for implementing a more comprehensive national AI strategy with the passage on New Years Day (over Trumps veto) of the FY 2021 NDAA, which incorporated theNational AI Initiative Act.The White House on January 12 fulfilled the laws requirement to establish the National AI Initiative Office, responsible for coordinating AI research and policymaking across government, industry and academia.

The National AI Initiative Act, also known as Division E of the NDAA, was the most significant AI legislation to date to be enacted by Congress and will serve as thefoundationfor non-defense AI policy for the federal government in the years ahead. Division E established a coordinated, civilian-led federal initiative to accelerate research and development and encourage investments in trustworthy AI systems for the economic and national security of the United States. The legislation authorizes policies and significant funding for the National Science Foundation (NSF), National Institute of Standards and Technology (NIST) and Department of Energy.

In the 117th congress, a shift of focus will turn to monitoring implementation of this legislation and appropriating additional dollars to resource the initiative. Democratic majorities in both the House and Senate can be expected to apply a greater amount of attention and scrutiny over AI applications and their outcomes. Industry should expect increased policy and regulatory focus on ensuring accountability of AI through impact assessments and audits of AI algorithms. In her confirmation hearing, newly sworn in Commerce Secretary Gina Raimondo pledged to work with Congress on a bipartisan basis as part of the Advisory Committee on AI required by the defense policy bill. Raimondos department has jurisdiction over key science policy bureaus, including NIST.

The House Armed Services Committee has established a new Subcommittee on Cyber, Innovative Technologies, and Information Systems, with Representative James Langevin (D-RI) as chair and House AI Caucus member Elise Stefanik (R-NY) as ranking member. AI Caucus member and Endless Frontiers Act sponsor Representative Ro Khanna (D-CA) is also on this subcommittee.

Additional key congressional players on AI issues

Senator Rob Portman (R-OH), co-founder and co-chair of the Senate AI Caucus, announced that his current term will be his last and he will not seek re-election in 2022. But he has demonstrated that he will continue to be a leading voice on AI issues over the next two years, including in his capacity as ranking member of the Homeland Security and Governmental Affairs Committee which, among other responsibilities, has authority to investigate the efficiency, economy and effectiveness of all agencies and departments of the government.

Senator Martin Heinrich(D-NM), fellow co-chair and co-founder of the AI Caucus, is moving to the Appropriations Committee. He authored the SenatesArtificial Intelligence Initiative Actin 2019.

Many of the provisions included in that legislation became law via the FY21 NDAA being enacted on New Years Day 2021. Senator Heinrich is likely to continue pushing forresponsible and trustworthyAI funding and policies for government agencies while providing congressional oversight of the newly created White House National AI Initiative Office.

Representative Jerry McNerney (D-CA)continues as the Democratic Co-Chair of the House AI Caucus. He is particularly passionate and focused on AI workforce and research issues and is a member of the House Science Committee.

Representative Anthony Gonzalez (R-OH) will take over as the Republican co-chair of the House AI Caucus. Gonzalez, now in his second term, was not a member of the AI Caucus previously, but he was part of abipartisan group of House memberswho called on NIST to develop a framework on strategies, guidelines and best practices for AI that will bolster innovation and ethical practices in developing and implementing artificial intelligence across the US. He is also interested in AI impacts on the workforce as a representative from the rustbelt.

Current AI Caucus membership in the 117thCongress:

Senate AI Caucus

CO-CHAIRS

Martin Heinrich (D-NM)

Rob Portman (R-OH)

MEMBERS

Brian Schatz (D-HI)

Joni Ernst (R-IA)

Gary Peters (D-MI)

Mike Rounds (R-SD)

Maggie Hassan (D-NH)

House AI Caucus

CO-CHAIRS

Jerry McNerney (D-CA-09)

Anthony Gonzalez (R-OH-16)

MEMBERS

Don Beyer (D-VA-08)

GK Butterfield (D-NC-01)

Andr Carson (D-IN-07)

Emanuel Cleaver II (D-MO-05)

Suzan DelBene (D-WA-01)

Mark DeSaulnier (D-MA-11)

Nanette Diaz Barragn (D-CA-44)

Debbie Dingell (D-MI-12)

Anna G. Eshoo (D-CA-18)

Bill Foster (D-IL-11)

Josh Gottheimer (D-NJ-05)

Pramila Jayapal (D-WA-07)

Henry C. "Hank" Johnson (D-GA-04)

Ro Khanna (D-CA-17)

Derek Kilmer (D-WA-06)

Brenda Lawrence (D-MI-14)

Ted Lieu (D-CA-33)

Michael McCaul (R-TX-10)

Bobby Rush (D-IL-01)

Brad Sherman (D-CA-30)

Darren Soto (D-FL-09)

Elise Stefanik (R-NY-21)

Steve Stivers (R-OH-15)

Marc Veasey (D-TX-33)

Link:
Technology, artificial intelligence in focus for the Biden Administration and the 117th Congress Seen through the lens of competition with China -...

Submitted Published 4:55 a.m. ET March 21, 2021

Doug and Tammy Wertz are heroes! They did not give up on one of our most valuable gifts - the Mansfield Playhouse. For many, many years I had permanent tickets for Sunday afternoons. I can't believe how much I enjoyed those shows!

I want to thank everyone (and there were hundreds) who put in their time to give us quality, affordable memories. From every prat fall to every tear, we loved our Playhouse times. As a little girl, I even went to church there!

The arts are alive and well in Mansfield, thanks to people like Doug and Tammy. God bless you!

Marjorie Leonard, Mansfield

I don't understand why numerous American citizens can't seem to recognize or care of the many dangers that is happening in our country. The government is leaning strongly toward the United States, a Socialist country, controlled by the Democratic Party, that has very notably turned Socialist.

Is that what you really want and then wait to see what happens next when the wolf knocks down your door?

That, my fellow Americans, will happen if you sit back and allow this to happen. These radicals must be stopped before it's too late. That requires input from you, the American people. Think do you want your children, future generations, and you to live in a government controlled by Socialists?

Ann Burkhart, Mansfield

Read or Share this story: https://www.mansfieldnewsjournal.com/story/news/2021/03/21/letters-editor-thank-you-socialism/4719562001/

See more here:
Letters to the Editor: Thank you, Socialism - Mansfield News Journal