Archive for the ‘Artificial Intelligence’ Category

AI for All: Experts Weigh In on Expanding AI’s Shared Prosperity and Reducing Potential Harms – uschamber.com

Policymakers, technologists, and business leaders must work together to ensure that the prosperity from artificial intelligence is shared throughout society and the unintended harms are addressed and mitigated, said experts at the U.S. Chamber AI Commission field hearing in Palo Alto, CA.

Were seeing a growth in AI systems that can function across multiple domains for the last decade...this can lead to unanticipated and harmful outcomes, said Rep. Anna Eshoo (CA-18), kicking off the hearing with words of caution. Policymakers, researchers, and leaders in the private sector need to collaborate to address these issues to ensure that AI advancement accrues to the benefit of society, not at the cost of it.

She added, As AI becomes more powerful, we have to keep refocusing technological development on our values to ensure that technology improves society. Many experts testifying throughout the hearing echoed similar points, advocating for widening the shared prosperity that would result from AI and cautioning the Commission on AIs potential harm to workers and marginalized communities.

1/2Rep. Anna Eshoo (CA-18) and Rep. Ro Khanna (CA-17) provided remarks at the U.S. Chamber AI Commission field hearing in Palo Alto, CA, on May 9, 2022.

2/2Rep. Anna Eshoo (CA-18) and Rep. Ro Khanna (CA-17) provided remarks at the U.S. Chamber AI Commission field hearing in Palo Alto, CA, on May 9, 2022.

Erik Brynjolfsson, Senior Fellow at the Stanford Institute for Human-Centered AI (HAI) and Director of the Stanford Digital Economy Lab, articulated the difference between automation and augmentation when it comes to jobs: Economists have made a distinction between economic substitute and economic complement, he testified. Substitutes tend to worsen economic inequality and increase concentration of economic and political power.

Moreover, he stressed that Most of the progress over time has come not from automating things we are already doing, but from doing new things...When technology complements humans...it increases wages and leads to more widely shared prosperity.

Katya Klinova, Head of Al, Labor and the Economy at The Partnership on AI, also advocated for the path of AI augmenting and complementing the skills of a much broader group of workers, making them more valuable for the labor market, boosting their wages, improving economic inclusion, and ultimately creating a more competitive economy, she said.

The regular discourse is overwhelmingly focused on how workers should prepare for the age of AI, and how governments and institutions can help them to prepare, Klinova testified. By putting all the burden of adjustment on the workers and the government, we are forgetting that the technology too can and should adjust to the needs and realities faced by communities and the workforce.

However, The issue is that in practice, it is often quite difficult to tell apart worker-augmenting technologies from worker-replacing technologies. Because of that, Klinova asserted, any company today that wants to claim their technology augments workers can just do it. Its a free-for-all claim that is not necessarily substantiated by anything.

Alka Roy, Founder of the Responsible Innovation Project and RI Labs, underscored a trust gap that results from this kind of discrepancy between having best practices, audits, and governance, and how and where they are actually used. Some reports...cite that even companies that have AI principles and ethics, only 9% to 20% of them publicly admit to having operationalizing these principles, Roy said.

To address these issues, Klinova advocated for invest[ing] in alternative benchmarks...and in building institutions that allow for empowered participation of workers in the development and deployment of AI. Adding that, Workers are ultimately the best people to tell apart which technologies help them and make their day better, and which ones look good on paper in marketing materials, but in practice enable exploitation or over surveillance.

In talking about the impact of AI on workers, Doug Bloch, Political Director at Teamsters Joint Council 7, referenced his time serving on Governor Newsoms Future of Work Commission, I became convinced that all the talk of the robot apocalypse and robots coming to take workers jobs was a lot of hyperbole. I think the bigger threat to the workers I represent is the robots will come and supervise through algorithms and artificial intelligence.

We have to empower workers to not only question the role of technology in the workplace, but also to use tools such as collective bargaining and government regulation to make sure that workers also benefit from its deployment, he said.

In his testimony, Bloch emphasized that workers arent afraid of technology, but they will question its purpose and make sure that its regulated, and that workers have a voice in the process. The biggest question for organized labor and worker advocates right now...is how does all of this technology relate to production standards, to production, and to discipline?

Bloch referenced an existing contract to show how AI and labor may co-exist. Terms provided a safety net for workers by ensuring that they cant be fired by surveillance technology or an algorithm. A supervisor has to directly observe dishonest behavior to allow a firing. He also underlined the importance that the data workers generate, which helps to inform decisions and increase profits for the company, won't be used against them.

Bloch closed by stating, If the fight of the last century was for workers to have unions and protections like OSHA, I honestly believe that the fight of this century for workers will be around data, and that workers should have a say in what happens with it and to share in the profit with it.

Jacob Snow, Staff Attorney for the Technology and Civil Liberties Program at the ACLU of Northern California, told the Commission that the critical discussions on AI are, not narrow technical questions about how to design a product. They are social questions about what happens when a product is deployed to a society, and the consequences of that deployment on peoples lives.

He explained why he believed facial recognition should be on the other side of the technological red line: There are applications of facial recognition, which I think at least officially seem like they might be valuable finding a missing person or tracking down a dangerous criminal, for example. But...any tool that can find a missing person, can find a political dissident. Any tool that can pick a criminal out of a crowd, can do same for an undocumented person or a person who has received reproductive healthcare. He cautioned, Were living in a time when its not necessary for civil rights and privacy advocates to say just imagine if the technology fell into the wrong hands. Its going directly into the wrong hands after its been built.

We can think a little bit more broadly about what constitutes AI regulation worker protections, housing support, private laws all those frameworks put in place deeper social, health-related, and economic protections that limit the harm about algorithms, Snow testified.

Rep. Ro Khanna (CA-17), who provided concluding remarks, talked about the disparate impacts that AI will have in different communities across the United States. This challenge is the central challenge for the country: How do we both create economic opportunity in places that have been totally left out, how do we build and revitalize a new middle class, and how do we have the benefits of technology be more widely shared? In summary, the Congressman stated, There's going to be 25 million of these new jobs in every field from manufacturing to farming to retail to entertainment. The question is, how do we make sure that they are a possibility for people in every community?"

To continue exploring critical issues around AI, the U.S. Chamber AI Commission will host further field hearings in the U.S. and abroad to hear from experts on a range of topics. The next hearing will be held in London, UK, on June 13. Previous hearings took place in Austin, TX, and Cleveland, OH.

Learn more about the AI Commission here.

Director, Policy, U.S. Chamber of Commerce Technology Engagement Center (C_TEC)

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AI for All: Experts Weigh In on Expanding AI's Shared Prosperity and Reducing Potential Harms - uschamber.com

Global Artificial Intelligence in Big Data Analytics and IoT Markets, 2022-2027: Focus on Data Capture, Information and Decision Support Services -…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena. The report assesses emerging business models, leading companies, and solutions.

The report also analyzes how different forms of AI may be best used for problem-solving. The report also evaluates the market for AI in IoT networks and systems. The report provides forecasting for unit growth and revenue for both analytics and IoT from 2022 to 2027.

The Internet of Things (IoT) in consumer, enterprise, industrial, and government market segments has very unique needs in terms of infrastructure, devices, systems, and processes. One thing they all have in common is that they each produce massive amounts of data, most of which is of the unstructured variety, requiring big data technologies for management.

Artificial Intelligence (AI) algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments. The author sees three different types of IoT Data: (1) Raw (untouched and unstructured) Data, (2) Meta (data about data), and (3) Transformed (valued-added data). Artificial Intelligence (AI) will be useful in support of managing each of these data types in terms of identifying, categorizing, and decision-making.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision-making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Select Report Findings:

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Overview

3.1 Artificial Intelligence and Machine Learning

3.2 AI Types

3.3 AI & ML Language

3.4 Artificial Intelligence Technology

3.5 AI and ML Technology Goal

3.6 AI Approaches

3.7 AI Tools

3.8 AI Outcomes

3.9 Neural Network and Artificial Intelligence

3.10 Deep Learning and Artificial Intelligence

3.11 Predictive Analytics and Artificial Intelligence

3.12 Internet of Things and Big Data Analytics

3.13 IoT and Artificial Intelligence

3.14 Consumer IoT, Big Data Analytics, and Artificial Intelligence

3.15 Industrial IoT, Big Data Analytics, and Machine Learning

3.16 Artificial intelligence and cognitive computing

3.17 Transhumanism or H+ and Artificial Intelligence

3.18 Rise of Analysis of Things (AoT)

3.19 Supervised vs. Unsupervised Learning

3.20 AI as New form of UI

4.0 AI Technology in Big Data and IoT

4.1 Machine Learning Everywhere

4.2 Machine Learning APIs and Big Data Development

4.3 Enterprise Benefits of Machine Learning

4.4 Machine Learning in IoT Data

4.5 Ultra Scale Analytics and Artificial Intelligence

4.6 Rise of Algorithmic Business

4.7 Cloud Hosted Machine Intelligence

4.8 Contradiction of Machine Learning

4.9 Value Chain Analysis

5.0 AI Technology Application and Use Case

5.1 Intelligence Performance Monitoring

5.2 Infrastructure Monitoring

5.3 Generating Accurate Models

5.4 Recommendation Engine

5.5 Blockchain and Crypto Technologies

5.6 Enterprise Application

5.7 Contextual Awareness

5.8 Customer Feedback

5.9 Self-Driving Car

5.10 Fraud Detection System

5.11 Personalized Medicine and Healthcare Service

5.12 Predictive Data Modelling

5.13 Smart Machines

5.14 Cybersecurity Solutions

5.15 Autonomous Agents

5.16 Intelligent Assistant

5.17 Intelligent Decision Support System

5.18 Risk Management

5.19 Data Mining and Management

5.20 Intelligent Robotics

5.21 Financial Technology

5.22 Machine Intelligence

6.0 AI Technology Impact on Vertical Market

6.1 Enterprise Productivity Gain

6.2 Digital Twinning and Physical Asset Security

6.3 IT Process Efficiency Increase

6.4 AI to Replace Human Form Work

6.5 Enterprise AI Adoption Trend

6.6 Inclusion of AI as an IT Requirement

7.0 AI Predictive Analytics in Vertical Industry

7.1 E-Commerce Services

7.2 Banking and Finance Services

7.3 Manufacturing Services

7.4 Real Estate Services

7.5 Government and Public Services

8.0 Company Analysis

8.1 Google Inc.

8.2 Twitter Inc.

8.3 Microsoft Corporation

8.4 IBM Corporation

8.5 Apple Inc.

8.6 Facebook Inc.

8.7 Amazon.com Inc.

8.8 Skype

8.9 Salesforce.com

8.10 Intel Corporation

8.11 Yahoo Inc.

8.12 AOL Inc.

8.13 Nvidia Corporation

8.14 x.ai

8.15 Tesla Inc.

8.16 Baidu Inc.

8.17 H2O.ai

8.18 SparkCognition Inc.

8.19 OpenAI

8.20 Inbenta

8.21 CISCO Systems Inc.

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Global Artificial Intelligence in Big Data Analytics and IoT Markets, 2022-2027: Focus on Data Capture, Information and Decision Support Services -...

Artificial intelligence to be UAE’s top sector over next decade, survey finds – The National

Artificial intelligence is being tipped to be the UAE's most important industry over the next 10 years, with universities urged to step up efforts to prepare the next generation of high-tech workers.

The fast-rising sector was ranked ahead of construction, electronics, aerospace, robotics, design engineering and IT and cybersecurity in a poll of technology and engineering employees in the Emirates.

The UAE government is driving forwards with ambitious plans to establish itself as a global AI hub.

In 2017, the country appointed Omar Al Olama as its first Minister of State for Artificial Intelligence and later adopted the National Artificial Intelligence Strategy 2031 to promote the growth of the cutting-edge technology.

The Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi was established in 2019 to develop the skills of top talent from across the world to lead workplaces of the future.

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The survey, commissioned by the UK-based Institution of Engineering and Technology (IET), and carried out by YouGov, polled 325 employers and employees in the UAE in December 2021 and January 2022.

Julian Young, IET president, said artificial intelligence would most certainly continue to grow in prominence.

Alongside that, I would almost add everything to do with digitalisation. Everything in the future in a highly advanced technological community, will be about digitalisation and getting computers to do far more work for us," said Mr Young.

So if one has a skilled workforce in this field, one would be able to make a profitable company and a profitable organisation and be a truly global player.

I'm not surprised to see that these are the skill sets that are required in three years' time, that these are the skill sets required in 10 years' time.

Sir Julian Young, President of the Institution of Engineering and Technology, said artificial intelligence would most certainly continue to grow in prominence. Photo: the Institution of Engineering and Technology

"If you pick up artificial intelligence and then think about the type of courses that people are undertaking. Do we need courses in artificial intelligence? Yes, of course. But in the more traditional areas of engineering, mechanical, electrical, electronic aerospace, there needs to be a digital component."

He said all of the traditional industries need digital and software and computer science inputs to be able to make the best of their workforce.

Ian Mercer, head of international operations for the Institution of Engineering and Technology, said universities could use the findings to ensure their courses run parallel to the immediate and future demands of the economy.

"If I were an academician, then I would be thinking, 'if that's where the where the industry is going to go then the courses that we're going to offer to students probably need to be ramped up to be where the need is going to be'," Mr Mercer said.

"At the end of the day, universities want jobs to be available for the people that they put through the system.

"If you look at the the ambitions of the UAE government, they want to become a tech hub of the world."

He said that in a post-oil and gas economy, technology may be one of the main workforce providers in the region.

A graduation ceremony at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi. All photos: Khushnum Bhandari / The National

The UAE is continuing to explore ways in which artificial intelligence can be used to boost business, make government departments more agile and efficient, and support health services.

Artificial intelligence could soon be used to tailor UAE government employees working hours to their own personal productivity.

The initiative, which is being studied by the Federal Authority for Government Human Resources, is one of a host of practical applications for AI in everyday life.

In March, 41 business leaders who took a three-month course at Mohamed bin Zayed University for Artificial Intelligence, celebrated their graduation.

The course aimed to support UAE government and business sectors. Participants were required to complete 12 rigorous weeks of coursework, lectures and collaborative project work.

Dr Jamal Al Kaabi, undersecretary at the Department of Health in Abu Dhabi, joined the programme after the Covid-19 pandemic made him realise the potential of artificial intelligence.

He believes wearable technology and AI could be crucial in providing home services and follow-up care for the elderly.

Updated: May 20, 2022, 5:20 AM

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Artificial intelligence to be UAE's top sector over next decade, survey finds - The National

Octane AI Promotes Two Executives to C-Suite as Company Bets on Artificial Intelligence to Fuel its Zero-Party Data Platform – PR Newswire

Megan Berry and Alex Gurevich appointed Chief Product Officer and Chief Operating Officer at Octane AI.

As CPO of Octane AI, Megan Berry will lead the product, design, and engineering teams in enhancing Octane AI's platform to enable more users to create relationships with their site visitors based on real data, and turn them into customers. Berry has over a decade of experience working with and managing remote product teams, having served as a Vice President of Product at Octane AI and RebelMouse. Berry previously worked at ad pioneer Mobclix and social influence platform Klout before its acquisition by Lithium.

"I've never been more excited about what we're building here at Octane AI! We want to empower every ecommerce merchant to have more conversations with their customers and to leverage zero-party data to humanize their shopping experience," said Megan Berry, CPO of Octane AI. "Merchants know the importance of collecting and owning customer data, but they need solutions that make it easy to use this data to improve the full customer journey. That's why we are prioritizing AI features that will make collecting zero-party data a no-brainer. We are making it incredibly fast and easy for marketers to get up and running with zero-party data marketing."

After joining Octane AI as the Vice President of Finance and Operations, Alex Gurevich quickly transformed the operations of the company to be in a position to scale both the customer base and the internal team. With a track record of impact in high-growth technology businesses like Google, Zendesk, and Credit Karma, and seeing each of these companies go either through an IPO or acquisition, Gurevich is well-suited to lead the operations of Octane AI. In the new COO role, Gurevich will oversee internal functions, such as finance and people operations, as well as customer facing functions, such as account management.

"Since I joined in March of 2021, it's been really great to see our customer base grow 80%+ and the monthly Gross Merchandise Value these customers generate through our software more than double," said Alex Gurevich, COO of Octane AI. "We've been able to have this kind of growth with AI only in our name. Looking at our roadmap and seeing how powerful our software will become with machine learning, I am excited about driving increasing value for our customers and making their businesses more automated, smarter, and personalized."

To learn more about Octane AI, visit http://www.octaneai.com. Follow @OctaneAI on Twitter to stay up-to-date with the latest news, offerings and marketing tips.

About Octane AI

Octane AI is the zero-party data marketing platform for Shopify and Shopify Plus merchants. Octane AI's patented conversational technology enables thousands of merchants to collect zero-party data and leverage it for personalization at scale across their website, email and SMS. Ultimately, brands using Octane AI see an increase in sales conversions, opt-ins, AOV and LTV.

Elected the Best Storefront App by Shopify in 2021, Octane AI is helping brands build deep relationships with their customers and personalize the shopping experience. The fully-remote martech company employs team members in over 12 countries and has received funding from Javelin Venture Partners, General Catalyst, Bullpen Capital, and Boost VC top Silicon Valley investors behind big brands like Shopify, Masterclass, Snapchat, BigCommerce, Canva and Alibaba. For more information, visit: https://www.octaneai.com/

SOURCE Octane AI

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Octane AI Promotes Two Executives to C-Suite as Company Bets on Artificial Intelligence to Fuel its Zero-Party Data Platform - PR Newswire

Virtual hospital operations summit to focus on role of Artificial Intelligence in achieving ROI for system wide impact – Becker’s Hospital Review

While the healthcare industry has faced unprecedented operational constraints in recent years, including limited physical capacity, vulnerable patients, loss of revenue, and shortages of staff, it has also reaped opportunities to adapt and excel.

Health systems and hospitals have been especially primed to rapidly adopt digital transformation and technology initiatives to predict and manage optimal scheduling, staffing, and patient flow.

With the support of AI-based analytics tools, health systems can better use the assets in which they have already invested. By utilizing critical resources like operating rooms, infusion clinics, and inpatient bed units effectively, they can improve financial performance, relieve burden on staff, and treat higher volumes of patients in shorter periods of time. Many healthcare organizations have already deployed analytics to achieve these results, quickly seeing a large return on a relatively small investment in implementation.

With their upcoming Transform Hospital Operations Summit, hosted in partnership with Beckers, healthcare analytics expert LeanTaaS will share these providers journeys, results, and stories. Driven by a focus on deploying AI to achieve better return on investment, the two-day program will connect over 1,000 attendees with health system executives, technology leaders, and industry experts to discuss how hospitals across the U.S. use AI and predictive and prescriptive analytics tools to solve critical challenges arising from case backlogs, provider burnout and staffing shortages, and increased patient wait times.

Summit attendees will learn about success stories from C-suite hospital and health system leaders who have transformed operations and unlocked revenue by using AI and machine learning solutions. These sessions will encompass a wide range of perspectives on this topic, including the strategies of breaking through operational barriers with partnerships, the urgency behind implementing high-powered AI, the best practices for scaling disruptive new technology at scale, the potential for AI to revolutionize the healthcare industry, and more.

Primary speakers include Dr. Patrick McGill, EVP, Chief Transformation Officer at Community Health Network; Dr. Douglas Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare; and Dr Eric Eskiolu, Executive Vice President, Chief Medical and Scientific Officer and Co-Director of the Institute of Innovation and Artificial Intelligence at Novant Health.

Were excited to speak at Transform and share our experiences with AI and analytics, but just as importantly, about how were building a culture that supports transformation through a commitment to clinical excellence, workforce development, and process improvement, shared Aaron Miri, Senior Vice President and Chief Digital and Information Officer and Amy Huveldt, VP of Performance Excellence, both of Baptist Health and who will also be primary speakers.

Further speakers include healthcare leaders and experts from Cone Health, Mount Nittany Medical Center, Multicare, UCHealth, University of Utah Health, Vanderbilt-Ingram Cancer Center, and Yale New Haven Health. These sessions will feature healthcare executives highlighting the results they have achieved by leveraging AI in their operations, including increasing surgical case length accuracy by 4%; reducing infusion patient wait times by 30%; and decreasing inpatient time-to-admit by 16%, despite an 18% increase in COVID-19 census. Attendees can build a hospital operations summit schedule based on interest and specialty, choosing from three Learning Tracks: Perioperative, Infusion Centers, and Inpatient Beds.

As the healthcare industry continues to grapple with lingering effects of the pandemic, its no secret that health systems need to do more with less while also prioritizing the valuable time and wellbeing of staff. Were looking forward to our June Transform event, as it will hone in on critical healthcare issues and how AI can support hardworking hospital leaders, said Mohan Giridharadas, LeanTaaS founder and CEO. This event will provide all attendees with the resources needed to compete and thrive by using smarter capacity management decisions every single day.

Transform registration is free for all attendees. To register and learn more about the sessions and speakers that will be featured at the summit, view the conference agenda here.

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Virtual hospital operations summit to focus on role of Artificial Intelligence in achieving ROI for system wide impact - Becker's Hospital Review