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In the Top Gun, HAL 9000, and Jobs of the Future podcast (September 15, 2022), WBC director Robert J. Marks discusses whether AI is sucking up all our jobs with talk show host Mark Hahn, who can be heard on KSCJ in Sioux City, Iowa. Dr. Marks, author of Non-Computable You is a professor of computer engineering at Baylor University and a pioneer of AI swarm intelligence. This is the second half of the podcast.

A partial transcript, notes, and Additional Resources follow.

Mark Hahn: Dr. Marks, artificial intelligence is something that many people have fantasized on a science fiction level; many shows have been about that. Of course, in Space Odyssey 2001, HAL took over, and thats what scared people about artificial intelligence. Are we going to be making computers that are smarter than us?

Robert J. Marks: No. Absolutely not. And I dont know if HAL 2000 was smarter than the people. I think it was just programmed incorrectly. It was programmed to put the mission before human life. And I dont know if it was actually took over in any sense.

Note: HAL 9000 was an incredibly knowledgeable AI system that was given one simple order: to make sure that the ship reached its destination at Jupiter. (VillainsWiki) As Dr. Marks notes, AI has no natural ethical system so HAL did not hesitate to plot the deaths of crew members in order to guide the ship to its destination: At one point on the trip from Earth to Jupiter, HAL becomes suspicious that the crew might be sabotaging the mission. HAL then purposely tries to kill all the crew. The most logical explanation for this act is a coding error. HAL was programmed to operate on the basis that the mission took priority over human life. By contrast, science fiction writer Isaac Asimov did not allow his AI to kill. In his work, I, Robot, Asimov proposes three laws for robotics. The first is:

A robot may not injure a human being or, through inaction, allow a human being to come to harm.

If HAL were constrained by this or a similar instruction, there would be no attempts at killing, and 2001: A Space Odyssey would be a much less interesting movie. Could HAL 9000 ever be built? (Mind Matters News)

Mark Hahn: Well, thereve been other books too, along the same line, where man makes a computer, he keeps improving the computer; finally, he wants to have it have a little bit of intelligence on its own, based on, of course, the information that you put into it. And thats what computers are: garbage in, garbage out. If you put good things in there and you build the formats properly for what you want to do, it stays within those parameters. It doesnt go outside, just as you just discussed.

Robert J. Marks: Thats a very good illustration. The idea is that computers and artificial intelligence can take their training data and they can interpolate. They can look inside the box, but they dont have the creative ability to think outside the box.

Mark Hahn: Are future humans doomed to be replaced by artificial intelligence? And of course you said emphatically, No. But what will it replace? Will it replace travel agents? Right now, you certainly have online travel sites that are set up. And you can book in your own travel; you dont need an agent.

Robert J. Marks: You have to ask yourself, can a certain job be described by an algorithm, meaning a step-by-step procedure for doing something? Thats certainly true for travel agents. They go through step-by-step procedures. You hear other things: toll booth operators, for example. Theyre totally gone because they just did a simple algorithm.

Robert J. Marks: So, if your task could be defined by an algorithm, your job is in danger of being replaced by artificial intelligence. But if your position requires sentience, if it requires creativity, if it requires understanding, youre probably in less danger of artificial intelligence taking over.

What is going to happen eventually is, artificial intelligence is going to be a tool. And thats all artificial intelligence is. Its a tool. Its a tool which can be used by different professions to do a better job. But it isnt going to replace them

I would also say that artificial intelligence is going to introduce new jobs. Today we have all of these people that make their living on TikTok or some of these other social media. And we have people that work for Google that do all the censoring of the content. Not a good job. But nevertheless, these are jobs created by artificial intelligence and technology. So, I guess Im a big believer in free enterprise. And it might be painful, but I think that were going to adapt

Note: The Employment Situation Summary compiled by the U.S. Bureau of Labor Statistics for September 2, 2022, reports that Total nonfarm payroll employment increased by 315,000 in August, and the unemployment rate rose to 3.7 percent Notable job gains occurred in professional and business services, health care, and retail trade. 3.7% is not at high unemployment rate, especially if we factor in job changes, etc. If AI is indeed taking all our jobs, it is rather slow about it.

Robert J. Marks: When I was a boy and you made a long distance call, if you went to a payphone, you had to put nickels and quarters in it. And today, I can do FaceTime. Ive done this simultaneously with somebody in Sweden and another person in Colombia. Its just like were in the same room. AI does incredible things.

But as I mentioned in the beginning, theres certain walls that its never going to go through. And I think some of those walls are things like The Terminator and The Matrix. Those things are never going to happen.

Mark Hahn: Well, thats true. Are we ever going to have AI campaign managers in political campaigns? Here we are, coming up to the midterms

Robert J. Marks: I think AI is going to be a tool in this sort of thing. But one of the things that AI doesnt have is creativity. And you can talk about not only campaign managers but, say, a commander in the field.

Now, campaign managers and a commander in the military field are going to face scenarios that theyve never seen before. CEOs of companies do the same thing too. Now, the AI has to be trained in that scenario. If it sees a scenario that it hasnt seen before and its outside the box, if you will, it doesnt know what to do. But people, campaign managers and commanders in the field in the military field are going to have to react and assess situations that theyve never seen before and adapt to them. And no, I dont think artificial intelligence will ever do that. Now, AI might be used as a tool by these people that can give them forecast and suggestions of things to do. But the final decision will always lie with the human.

Heres the first part of the podcast: Marks tells Medved: Top Gun (2022) is way out of date Computer science prof Robert J. Marks argues in Non-Computable You, that in the 21st century, drones offer significant advantages over fighter pilots. But he also warns talk show host Michael Medved, AI is brittle and the ethics factor must be built in. It takes human intelligence to do that.

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AI Is Not Taking Away Our Jobs Because It Can't Do Them - Walter Bradley Center for Natural and Artificial Intelligence

In three to five years, 80% of what marketers do will be dependent on artificial intelligence.

MSP SUMMIT/CHANNEL PARTNERS LEADERSHIP SUMMIT Allison Bergamo knows the power of artificial intelligence (AI) for marketing. Bergamo, principal at Bergamo Marketing Group, uses that kind of AI at her firm because, she said, she wants to be ahead of the curve. Bergamo wouldnt be wrong. As statistics go, in three to five years, 80% of what marketers do will be dependent on this type of technology.

Bergamo Marketing Groups Allison Bergamo

However, its not plug and play, said Bergamo, who added that marketers will have to use clean, unstructured data with some of the technology.

Bergamo was part of a panel of marketing experts who spoke at the MSP Summit/Channel Partners Leadership Summit in Orlando on Thursday. Their advice to the audience spanned from using artificial intelligence technology, to how to master relationships, to learning ways to market on a budget. The latter couldnt be more relevant for MSPs, they said.

Even though many MSPs are small and have finite resources, that doesnt mean they should neglect marketing.

You can find money in your budget to allocate toward this. Its important, said Marcial Velez (pictured right, above), CEO at Xperteks Computer Consultancy. Historically MSPs grow about 10% [annually]. If you want to outperform that rate, youve got to invest in this.

And the investment doesnt have to be expensive, the panelists said. One can be technologically savvy about marketing without spending a lot of money. Velez said digital business cards are a great example because they can share information beyond someones name and company affiliation. Social media and blog posts can also be exchanged with this tool.

You can now start connecting to the content that you want your customers to see right away. You can now show your story, he said.

Charlene Ignacio, CEO (pictured middle, above) at The CMO Guru, HireXPro, also agreed that simplicity goes a long way. She likened it to the difference between buying an expensive Mercedes (a euphemism for a pricey marketing program) and buying a Honda. Everyone thinks they need the Mercedes, she said, even though a Honda can get you where you need to go.

A Honda works perfectly. It will last you 20 years longer, and the maintenance is lower, Ignacio said. When it comes to marketing, I like to do simple things because marketing can become like a black hole (of costs).

However, knowing whether to use cost-effective AI and digital business card tools presumes a certain baseline knowledge by a companys team. If a firm doesnt have that knowledge and needs a marketing program to attain those kind of resources, where do they begin?

Finding a company to outsource ones marketing may be a good first step. And a firm might have luck initially finding marketers who understand its business model. However, the panelists said the likely scenario is that ones first choice of marketers will not work out. Be prepared to fail, they said. But fail fast.

Take Reggie Stevens (pictured left, above), CEO at Iris Solutions, for example. In 2018, Stevens acquired Iris Solutions and set out to find a marketing team.

I didnt know what I was doing, he said.

It turns out neither did the marketers. Yet Stevens didnt spend his time begrudging the fact that he didnt get the professionals he needed to promote his company.

The pandemic made life even more complicated. Stevens knew he needed to keep his community of customers engaged differently because many people were working remotely.

He was steadfast and found another marketing firm.

You know, we had this freak-out moment and we just went back to the basics and started experimenting, he said about his work with the new marketing team. We began differently.

And he started to see results, but it took a year. This is not unusual for marketing initiatives.

Establishing reasonable expectations around how much time it takes to generate a marketing pipeline is critical, he said. It takes a commitment.

However, its even more granular than that. Its a 24/7 process, Velez said.

I think the modern marketer today is someone who looks at marketing more than just an activity, he said. You should automate these systems so that youre continually outreaching and doing things for your existing customers and prospecting for any of your clients.

He added: It takes someone with a really holistic view.

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Experts Speak to the Power of Artificial Intelligence for Effective Marketing - Channel Futures

LONDON, Sept. 14, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the digital transformation market, the increasing adoption of machine learning and artificial intelligence is expected to drive the growth of the digital transformation market going forward. Digital transformation provides traditional businesses with solutions like cloud computing, big data & analytics, data management, and other advanced features such as artificial intelligence and machine learning, which help in the optimization of business operations, leading to reduced efforts in operations and increased efficiency. Thus, their usage increased in various sectors such as healthcare, banking, transportation, manufacturing, and others, increasing the demand in the digital transformation market.

For instance, according to the report published by Cloudmantra, an India-based technology services company, the usage of machine learning in the Indian manufacturing industry has increased manufacturing capacity by up to 20% while reducing material usage by 4% in 2021. It also gives manufacturers the ability to control Overall Equipment Effectiveness (OEE) at the plant level, increasing OEE performance from 65% to 85%. Furthermore, according to the MIT Technology Review Insights report in 2022, approximately 60% of manufacturers are using artificial intelligence to improve daily operations, design products, and plan their future operations. Therefore, the rising adoption of machine learning and AI drives the digital transformation market.

Request for a sample of the global digital transformation market report

The global digital transformation market size is expected to grow from $0.94 trillion in 2021 to $1.17 trillion in 2022 at a compound annual growth rate (CAGR) of 24.7%. The global digital transformation market share is expected to grow to $2.64 trillion in 2026 at a CAGR of 22.4%.

Technological advancement in digital solutions is gaining popularity among the digital transformation market trends. Major companies operating in the digital transformation market are focused on developing technologically advanced products to strengthen their market position. For instance, in April 2020, Oracle Corporation, a US-based computer technology corporation and software solutions provider, built a new cloud data storage service called GoldenGate, an oracles cloud infrastructure software that uses real-time data analytics for the analysis of data. Real-time data analysis provides a very quick analysis of data by using different logical and mathematical operations, which helps in understanding business requirements and implementing any decision instantly. GoldenGate provides clients with a highly automated and fully managed cloud service such as database replication, analyzing real-time data, and real-time data ingestion to the cloud, which will make daily business operations easy and analyzable.

Major players in the digital transformation market are Microsoft Corporation, IBM Corporation, Oracle Corporation, Google Inc., Cognizant, Accenture PLC, Dell EMC, Siemens AG, Hewlett-Packard Company, Adobe Systems Inc., Capgemini, Cognex Corporation, Deloitte, Marlabs Inc., Equinix Inc., PricewaterhouseCoopers, Apple Inc., Broadcom, CA Technologies, KELLTON TECH, International Business Machines Corporation, Hakuna Matata Solutions, ScienceSoft Inc., SumatoSoft, Space-O Technologies, HCL Technologies, and Tibco Software Inc.

The global digital transformation market analysis is segmented by technology into cloud computing, big data and analytics, artificial intelligence (AI), internet of things (IoT), blockchain; by deployment mode into cloud, on-premises; by organization size into large enterprises, small and medium-sized enterprises (SMEs); by end-user into BFSI, healthcare, telecom and IT, automotive, education, retail and consumer goods, media and entertainment manufacturing, government, others.

North America was the largest region in the digital transformation market in 2021. Asia-Pacific is expected to be the fastest-growing region in the global digital transformation market during the forecast period. The regions covered in the global digital transformation industry outlook are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Digital Transformation Global Market Report 2022 Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provide digital transformation market overviews, analyze and forecast market size and growth for the whole market, digital transformation market segments and geographies, digital transformation market trends, digital transformation market drivers, digital transformation market restraints, digital transformation market leading competitors revenues, profiles and market shares in over 1,000 industry reports, covering over 2,500 market segments and 60 geographies.

The report also gives in-depth analysis of the impact of COVID-19 on the market. The reports draw on 150,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders. A highly experienced and expert team of analysts and modelers provides market analysis and forecasts. The reports identify top countries and segments for opportunities and strategies based on market trends and leading competitors approaches.

Not the market you are looking for? Check out some similar market intelligence reports:

Artificial Intelligence Global Market Report 2022 By Offering (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Others (Image Processing, Speech Recognition)), By End-User Industry (Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment) Market Size, Trends, And Global Forecast 2022-2026

Cloud Orchestration Global Market Report 2022 By Service Type (Cloud Service Automation, Training, Consulting, And Integration, Support And Maintenance), By Deployment Mode (Private, Public, Hybrid), By Organization Size (Small And Medium Enterprises (SMEs), Large Enterprises), By End-User (Healthcare And Life Sciences, Transportation And Logistics, Government And Defense, IT And Telecom, Retail, Manufacturing, Other End-Users) Market Size, Trends, And Global Forecast 2022-2026

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The Increased Use Of Machine Learning And Artificial Intelligence Is Expected To Fuel The Digital Transformation Market As Per The Business Research...

South Korea, Seoul, Sept. 16, 2022 (GLOBE NEWSWIRE) -- As per a new report by Fact.MR, a market research and competitive intelligence provider, the global demand for neurology devices is anticipated to reach a valuation of US$ 13 billion by 2027.

The prevalence of several neurological conditions as well as cerebrovascular disorders such as stroke, migraine, and headache is increasing across the world, which is driving up demand for neurology devices. Growing preference for minimally-invasive procedures and ongoing innovations in neurology equipment are also increasing market value.

With the support of non-invasive, image-guided neurology technologies, neurovascular issues such as tumors, cavernous malformations, and stroke are addressed. The market for neurology devices is expanding as a result of many key variables, including an increase in head traumas, high rates of stress in young people, an increase in the geriatric population, and a large patient base.

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Rising patient awareness regarding the availability of treatment and reimbursement for neurovascular illnesses, particularly in emerging countries, are factors that will accelerate market expansion.

The use of artificial intelligence (AI) in neurology is anticipated to support market expansion. Computer-aided diagnosis (CAD) systems that employ AI and advancedsignal processing methods can assist physicians in analyzing and understanding physiological signals and images more accurately.

New Market Entrants Focused on Advancements in Neurological Medical Devices

A condition known as hydrocephalus causes an abnormal accumulation of intracranial fluid in the brain cavities. The implantation of a shunt to drain the surplus accumulation is one of the traditional treatments for chronic hydrocephalus. Data on intracranial pressure is continuously monitored and collected by newer systems, such asInternet of Things (IoT) sensors.

New companies offer neuromodulation solutions to help patients manage their discomfort from neurological illnesses. Aspiring market players are working on developments in neurological medical devices.

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Key Takeaways from Market Study

Key Segments in Neurology Devices Industry Research

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Winning Strategy

Top companies are engaged in the introduction of magnetic stimulation technology as a result of innovationsin neurostimulation and neuromodulation techniques. Key market players are collaborating with research organizations to increase their presence and contribute to the creation of modern as well as safe processes.

For instance,

Competitive Landscape

Key producers of neurology devices are focusing on innovation by manufacturing and releasing new products as part of their strategy to maintain their position in the neurology devices market on a worldwide scale. To diversify their product offerings, top neurology medical device companies are concentrating on getting new devices approved.

For instance :

Key Companies Profiled

More Valuable Insights on Offer

Fact.MR, in its new offering, presents an unbiased analysis of the global neurology devices market, presenting historical demand data (2017-2021) and forecast statistics for the period of 2022-2027.

The study divulges essential insights on the market on the basis of product (cerebrospinal fluid management devices, interventional neurology devices, neurosurgery devices, neurostimulation devices) and end user (hospitals, ambulatory surgery centers, neurology clinics), across five major regions (North America, Europe, Asia Pacific, Latin America, and MEA).

Check out more related studies published by Fact.MR Research:

Neurointerventional Devices Market:The neurointerventional devices market was worthUS$ 2.3 Bnin 2020, and is predicted to expand2.1Xby the end of the decade.North America dominates the global market, global demand for neurointerventional treatment devices is predicted to increase at a robust CAGR of8%through 2031. The proliferationof technology in surgical procedures has completely changed the way diseases are dealt with and treated. The prevalence of brain tumors, aneurysms, and strokes majorly influence the neurointerventional treatment market.

Neurology Diagnostics Devices Market:At the end of 2021, the global neurology diagnostics devices market was valued atUS$ 8.24 billionand is anticipated to reachUS$ 21.1 billionby 2032, expanding at a highCAGR of 8.9%over the 2022-2032 time frame. As per a detailed industry analysis by Fact.MR, market research and competitive intelligence provider, CT Scanners dominated the global market in 2021 accounting for37.3%market share.

Nerve Ablation Devices Market:The global market for nerve ablation devices market is estimated to be a growing market, as the industry players are coming up with a new innovative versions of nerve ablation devices, to reduce the pain while inserting the microelectrodes and also looking for increase the treatment area which can be more accurate for targeted nerve for pain.The nerve ablation devices market is expected to witness significant growth over the forecast period due to the increasing number of patients suffering from pain.

ENT Medical Devices Market:The global ENT medical devices market is gaining traction and is likely to ascend at around 5.5% CAGR during the forecast period of 2021 to 2031. While the advanced healthcare sector and growing awareness about health have resulted in an increasing geriatric population, it has surged the demand for ENT medical devices, owing to the rise in ENT-related issues in elderly people.

Wireless Portable Medical Devices Market:Fact.MRs wireless portable medical devices industry analysis reveals that the global market was valued atUS$ 15 Bnin 2020, and is projected to topUS$ 33 Bnby 2031, expanding at a CAGR of11%.Demand for monitoring devices is projected to expand at a CAGR of11%reaching a valuation of aroundUS$ 16 Bn, with that for medical therapeutic devices also surging at11%.

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World to Benefit from Rapid Implementation of Artificial Intelligence in Neurology Devices: Fact.MR Study - GlobeNewswire

News Release

Tuesday, September 13, 2022

The National Institutes of Health will invest $130 million over four years, pending the availability of funds, to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioral research communities. The NIH Common Funds Bridge to Artificial Intelligence (Bridge2AI) program is assembling team members from diverse disciplines and backgrounds to generate tools, resources, and richly detailed data that are responsive to AI approaches. At the same time, the program will ensure its tools and data do not perpetuate inequities or ethical problems that may occur during data collection and analysis. Through extensive collaboration across projects, Bridge2AI researchers will create guidance and standards for the development of ethically sourced, state-of-the-art, AI-ready data sets that have the potential to help solve some of the most pressing challenges in human health such as uncovering how genetic, behavioral, and environmental factors influence a persons physical condition throughout their life.

Generating high-quality ethically sourced data sets is crucial for enabling the use of next-generation AI technologies that transform how we do research, said Lawrence A. Tabak, D.D.S., Ph.D., Performing the Duties of the Director of NIH. The solutions to long-standing challenges in human health are at our fingertips, and now is the time to connect researchers and AI technologies to tackle our most difficult research questions and ultimately help improve human health.

AI is both a field of science and a set of technologies that enable computers to mimic how humans sense, learn, reason, and take action. Although AI is already used in biomedical research and healthcare, its widespread adoption has been limited in part due to challenges of applying AI technologies to diverse data types. This is because routinely collected biomedical and behavioral data sets are often insufficient, meaning they lack important contextual information about the data type, collection conditions, or other parameters. Without this information, AI technologies cannot accurately analyze and interpret data. AI technologies may also inadvertently incorporate bias or inequities unless careful attention is paid to the social and ethical contexts in which the data is collected. In order to harness the power of AI for biomedical discovery and accelerate its use, scientists first need well-described and ethically created data sets, standards, and best practices for generating biomedical and behavioral data that is ready for AI analyses.

As it creates tools and best practices for making data AI-ready, Bridge2AI will also produce a variety of diverse data types ready to be used by the research community for AI analyses. These types include voice and other data to help identify abnormal changes in the body. Researchers will also generate data that can be used to make new connections between complex genetic pathways and changes in cell shape or function to better understand how they work together to influence health. In addition, AI-ready data will be prepared to help improve decision making in critical care settings to speed recovery from acute illnesses and to help uncover the complex biological processes underlying an individuals recovery from illness.

The Bridge2AI program is committed to fostering the formation of research teams richly diverse in perspectives, backgrounds, and academic and technical disciplines. Diversity is fundamental to the ethical generation of data sets, and for training future AI technologies to reduce bias and improve effectiveness for all populations, including those who are underrepresented in biomedical and behavioral research. Bridge2AI will develop ethical practices for data generation and use, addressing key issues such as privacy, data trustworthiness, and reducing bias.

NIH has issued four awards for data generation projects, and three awards to create a Bridge Center for integration, dissemination and evaluation activities. The data generation projects will generate new biomedical and behavioral data sets ready to be used for developing AI technologies, along with creating data standards and tools for ensuring data are findable, accessible, interoperable, and reusable, a principle known as FAIR. In addition, data generation projects will develop training materials that promote a culture of diversity and the use of ethical practices throughout the data generation process. The Bridge Center will be responsible for integrating activities and knowledge across data generation projects, and disseminating products, best-practices, and training materials.

The Bridge2AI program is an NIH-wide effort managed collaboratively by the NIH Common Fund, the National Center for Complementary and Integrative Health, the National Eye Institute, the National Human Genome Research Institute, the National Institute of Biomedical Imaging and Bioengineering, and the National Library of Medicine. To learn more about the Bridge2AI program, visit the Musings from the Mezzanine blog from the National Library of Medicine, and watch this video about the Bridge2AI program.

About the NIH Common Fund: The NIH Common Fund encourages collaboration and supports a series of exceptionally high-impact, trans-NIH programs. Common Fund programs are managed by the Office of Strategic Coordination in the Division of Program Coordination, Planning, and Strategic Initiatives within the NIH Office of the Director in partnership with the NIH Institutes, Centers, and Offices. More information is available at the Common Fund website: https://commonfund.nih.gov.

About the National Institutes of Health (NIH):NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit http://www.nih.gov.

NIHTurning Discovery Into Health

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NIH launches Bridge2AI program to expand the use of artificial intelligence in biomedical and behavioral research - National Institutes of Health...