Artificial Intelligence in Retail

Artificial Intelligence in Retail Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players.

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A 360 degree outline of the competitive scenario of the Global Artificial Intelligence in Retail Market is presented by Quince Market Insights. It has a massive data allied to the recent product and technological developments in the markets.

It has a wide-ranging analysis of the impact of these advancements on the markets future growth, wide-ranging analysis of these extensions on the markets future growth. The research report studies the market in a detailed manner by explaining the key facets of the market that are foreseeable to have a countable stimulus on its developing extrapolations over the forecast period.

Amazon Web Services, Baidu Inc., BloomReach Inc., CognitiveScale Inc., GoogleInc., IBM Corporation, Inbenta Technologies, IntelCorporation, Interactions LLC, Lexalytics Inc., MicrosoftCorporation, NEXT IT Corp., NvidiaCorporation, OracleCorporation, RetailNext Inc., Salesforce.com Inc., SAPSE, Sentient Technologies, Visenze

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By Solution (Chatbot, Customer Behavior Tracking, Customer Relationship Management (CRM), Inventory Management, Price Optimization, Recommendation Engine, Supply Chain Management, Visual Search), By Service (Professional Service, Managed Service), By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision), By Application (Automated Merchandising, Programmatic Advertising,

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A detailed outline of the Global Artificial Intelligence in Retail Market includes a comprehensive analysis of different verticals of businesses. North America, Latin America, Asia-Pacific, Africa, and Europe have been considered for the studies on the basis of several terminologies.

This is anticipated to drive the Global Artificial Intelligence in Retail Market over the forecast period. This research report covers the market landscape and its progress prospects in the near future. After studying key companies, the report focuses on the new entrants contributing to the growth of the market. Most companies in the Global Artificial Intelligence in Retail Market are currently adopting new technological trends in the market.

Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global Artificial Intelligence in Retail Market. The feasibility of the new report is also measured in this research report.

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Artificial Intelligence in Retail Market EMERGING TRENDS AND COMPETITIVE LANDSCAPE,Future Prospects, Growth And FORECAST TO 2028 - The Daily Chronicle

NEW YORK, Sept. 17, 2020 /PRNewswire/ --Accern Corporation, a leading no-code, AI fintech company today announced the launch of a new Presidential Election dashboard to track and analyze sentiment around the upcoming election. Without knowledge of code, business analysts and researchers can immediately access Accern's ready-made Presidential ElectionInsights use case and view the datathrough a dashboard.

The COVID-19 crisis and the 2020 U.S. presidential election have created uncertainty in the nationcausingmarket volatility for investors. With the amount of unstructured content in the Internet today, researchers and analysts are turning to artificial intelligence and machine learning to automate hours of manual researching, identifying, and extracting data.

Accern's Presidential Election dashboard provides users with an out-of-the-box solution to gain insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard retrieves and analyzes data from Accern's integrated unstructured data store of over 1 billion global public news sites and blogs.To view the dashboard, email solutions@accern.com.

"We have reached a pivotal point in automating workflows in the financial industry, with a no-code, AI-platform. Investors can quicklybuild and deploy event-driven use cases in minutes without writing a single line of code," said Kumesh Aroomoogan, co-founder and CEO of Accern."Weare excited about the results of our new Presidential Election dashboard in providing financial service institutions the ability to research, track, and analyze sentiment to make better-informed investment decisions."

To enable news tracking and sentiment analysis on target candidates across the U.S., Accern implemented the following features and tactics:

To learn more about the Presidential Election dashboard or to build your own AI use case, please email solutions@accern.com.

About Accern Corporation:Accern enhances AI workflows for financial service enterprises with a no-code data science platform. Researchers, business analysts, data science teams, and portfolio managers use Accern to build and deploy Natural Language Processing(NLP)models with artificial intelligence(AI).The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading NLP solutions. Allianz, IBM, and Jefferies utilize Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. For more information on how we can accelerate AI adoption for your organization, visitaccern.com

Follow us onLinkedIn,Twitter, andInstagram.

Media Contact: Grace Kim, grace.kim@accern.com

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Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 U.S. Presidential Election - Salamanca Press

The globalArtificial Intelligence (AI) in Advertising Marketis carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the global Artificial Intelligence (AI) in Advertising market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Artificial Intelligence (AI) in Advertising market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Artificial Intelligence (AI) in Advertising market. We have also focused on SWOT, PESTLE, and Porters Five Forces analyses of the global Artificial Intelligence (AI) in Advertising market.

Leading players of the global Artificial Intelligence (AI) in Advertising market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global Artificial Intelligence (AI) in Advertising market. Furthermore, the report offers two separate market forecasts one for the production side and another for the consumption side of the global Artificial Intelligence (AI) in Advertising market. It also provides useful recommendations for new as well as established players of the global Artificial Intelligence (AI) in Advertising market.

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Regions and Countries:U.S, Canada, France, Germany, UK, Italy, Rest of Europe, India, China, Japan, Singapore, South Korea, Australia, Rest of APAC, Brazil, Mexico, Argentina, Rest of LATAM, Saudi Arabia, South Africa, UAE.

Report Objectives

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Table of Contents

Report Overview:It includes major players of the global Artificial Intelligence (AI) in Advertising market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Artificial Intelligence (AI) in Advertising market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Artificial Intelligence (AI) in Advertising market are discussed.

Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application:Besides an overview of the global Artificial Intelligence (AI) in Advertising market by application, it gives a study on the consumption in the global Artificial Intelligence (AI) in Advertising market by application.

Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles:Almost all leading players of the global Artificial Intelligence (AI) in Advertising market are profiled in this section. The analysts have provided information about their recent developments in the global Artificial Intelligence (AI) in Advertising market, products, revenue, production, business, and company.

Market Forecast by Production:The production and production value forecasts included in this section are for the global Artificial Intelligence (AI) in Advertising market as well as for key regional markets.

Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the global Artificial Intelligence (AI) in Advertising market as well as for key regional markets.

Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the global Artificial Intelligence (AI) in Advertising market.

Key Findings:This section gives a quick look at important findings of the research study.

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Artificial Intelligence (AI) in Advertising Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on...

The latest Automotive Artificial Intelligence Softwaremarket report estimates the opportunities and current market scenario, providing insights and updates about the corresponding segments involved in the global Automotive Artificial Intelligence Softwaremarket for the forecast period of 2020-2026. The report provides detailed assessment of key market dynamics and comprehensive information about the structure of the Automotive Artificial Intelligence Softwareindustry. This market study contains exclusive insights into how the global Automotive Artificial Intelligence Softwaremarket is predicted to grow during the forecast period.

The primary objective of the Automotive Artificial Intelligence Software market report is to provide insights regarding opportunities in the market that are supporting the transformation of global businesses associated with Automotive Artificial Intelligence Software. This report also provides an estimation of the Automotive Artificial Intelligence Softwaremarket size and corresponding revenue forecasts carried out in terms of US$. It also offers actionable insights based on the future trends in the Automotive Artificial Intelligence Softwaremarket. Furthermore, new and emerging players in the global Automotive Artificial Intelligence Softwaremarket can make use of the information presented in the study for effective business decisions, which will provide momentum to their businesses as well as the global Automotive Artificial Intelligence Softwaremarket.

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The study is relevant for manufacturers, suppliers, distributors, and investors in the Automotive Artificial Intelligence Softwaremarket. All stakeholders in the Automotive Artificial Intelligence Softwaremarket, as well as industry experts, researchers, journalists, and business researchers can influence the information and data represented in the report.

Automotive Artificial Intelligence Software Market 2020-2026: Segmentation

The Automotive Artificial Intelligence Software market report covers major market players like

Automotive Artificial Intelligence Software Market is segmented as below:

By Product Type:

Breakup by Application:

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Impact of COVID-19:Automotive Artificial Intelligence SoftwareMarket report analyses the impact of Coronavirus (COVID-19) on the Automotive Artificial Intelligence Softwareindustry.Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Automotive Artificial Intelligence Softwaremarket in 2020.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.

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Global Automotive Artificial Intelligence Software Market Report Answers Below Queries:

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Key Questions Answered in this Report:

What is the market size of the Automotive Artificial Intelligence Software industry?This report covers the historical market size of the industry (2013-2019), and forecasts for 2020 and the next 5 years. Market size includes the total revenues of companies.

What is the outlook for the Automotive Artificial Intelligence Software industry?This report has over a dozen market forecasts (2020 and the next 5 years) on the industry, including total sales, a number of companies, attractive investment opportunities, operating expenses, and others.

What industry analysis/data exists for the Automotive Artificial Intelligence Software industry?This report covers key segments and sub-segments, key drivers, restraints, opportunities and challenges in the market and how they are expected to impact the Automotive Artificial Intelligence Software industry. Take a look at the table of contents below to see the scope of analysis and data on the industry.

How many companies are in the Automotive Artificial Intelligence Software industry?This report analyzes the historical and forecasted number of companies, locations in the industry, and breaks them down by company size over time. The report also provides company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness, and market capitalization.

What are the financial metrics for the industry?This report covers many financial metrics for the industry including profitability, Market value- chain and key trends impacting every node with reference to companys growth, revenue, return on sales, etc.

What are the most important benchmarks for the Automotive Artificial Intelligence Software industry?Some of the most important benchmarks for the industry include sales growth, productivity (revenue), operating expense breakdown, the span of control, organizational make-up. All of which youll find in this market report.

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Latest News 2020: Automotive Artificial Intelligence Software Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers Analysis | Top...

Artificial intelligence (AI) is a beneficial part of our daily lives - its not witchcraft. Artificial intelligence supports us in pursuing a common goal: Process excellence.

Digital transformation has changed the way we work together, revolutionizing business processes and models. Digitalization has become part of our everyday life, so much so that imaging a life without it seems impossible. Artificial intelligence (AI) is the new shiny thing that everyone wants to play with, and the magic word is data.

Since May 25, 2018 (introduction of the European General Data Protection Regulation, or GDPR for short), there hasnt been any doubt to the tremendous importance of data. Companies and websites use it every day to analyze (and subsequently capitalize on) our behavior as consumers. For example, I recently searched the web for a purse that my wife wanted for her birthday it didnt even take a minute for ads promoting all kinds of womens purses to crop up.

AI goes much further: Powerful algorithms hidden behind state-of-the-art software recognize correlations between the burning rainforests in Brazil and a potential terrorist attack in Afghanistan. AI algorithms are most effective at recognizing patterns and drawing conclusions from them, for example in the form of concrete actions or recommendations.

What distinguishes one of the most important subcategories of artificial intelligence machine learning (ML) is not only the recognition of patterns, but also the innate ability to train itself to behave in a specific way. Its functionality goes far beyond conventional Boolean operators; machine learning is real learning based on data sets.

Today, the conditions for artificial intelligence and machine learning are more ideal than ever before. Three circumstances have made this possible, first and foremost big data. More data has been generated in the past three years than in the entire history of the Internet. For the year 2020, we assume 44 zettabytes of data in numbers, that is 10*21 = 10 000 000 000 000 000 000 000 000 000 byte.

This much data of course requires a ton of computing power. With Moores Law in mind (the observation that the number of transistors in a dense integrated circuit (IC) doubles about every two years), we know that computing power has increased rapidly since the AI topic began gaining traction in 1956 which is the second circumstance making the conditions for AI more ideal than ever before. My current calculator has more processing power than my first C64.

The third circumstance concerns algorithms. Development environments like Jupyter notebook in combination with open source libraries are easily accessible for everyone and are no longer an insurmountable hurdle.

There are several approaches for different aspects of data management and the AI lifecycle. However, assembling and fitting them to your own needs can be a challenging experience.

Thats why we created the Digital Innovation Lab which gives us all the tools we need to identify, test and capitalize on trends. It helps us illuminate, question and test modern technologies to their limits. The Digital Innovation Lab is about questioning the status quo, exploring new possibilities and discovering how we and our customers can work in a more target-oriented, standardized manner. At our core, however, we are and will remain SAP consultants which is why we of course have already tested all imaginable scenarios in SAP Data Intelligence 3 (even though it has only been available to the general public since March 2020).

We need the right information as well as the right quantity and the right quality of data to achieve the right results. Of course, we do not know what the results will be in advance our clients are often surprised by their own data. While we define the use case and vision in advance, we keep an open mindset to what is coming. I can confidently say that the whole process of data exploration and feature engineering needs a lot of brainpower you are forced to think for yourself. Even if the algorithms are predetermined, business users have to think about resulting insights and derive actions from them. Artificial intelligence does not abolish (human) thinking, it merely enhances it.

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AI And The Case For Thinking For Yourself - e3zine.com

The market intelligence report on Artificial Intelligence Ai Cars And Light Trucks Market is prepared through diligent compilation of analytical study based on COVID-19 impacts, historical records, current and upcoming statistics and future developments. The intelligence report prepared contains details on the leading players of the Artificial Intelligence Ai Cars And Light Trucks Market, along with various depending aspects related and associated with the market. In addition, the report utilizes various analytical and test methods such as S.T.E.E.P.L.E., Regression analysis, S.W.O.T. (analysis methods) and ANOVA and FRAP (test methods), to identify the overlooked factor that could alter the state of the market and its implication it would have on the trend of the market. Artificial Intelligence Ai Cars And Light Trucks Market industry research report enriched on worldwide competition by topmost prime manufactures which providing information such as Company Profiles, Gross, Gross Margin, Capacity, Product Picture and Specification, Production, Price, Cost, Revenue and contact information.

Impact of Covid-19 on Artificial Intelligence Ai Cars And Light Trucks Market Analysis: The utility-owned segment is mainly being driven by increasing financial incentives and regulatory supports from the governments globally. The current utility-owned Artificial Intelligence Ai Cars And Light Trucks Market are affected primarily by the COVID-19 pandemic. Most of the projects in China, the US, Germany, and South Korea are delayed, and the companies are facing short-term operational issues due to supply chain constraints and lack of site access due to the COVID-19 outbreak. Under an exclusive section that unleashes the covid-19 impact analysis on Artificial Intelligence Ai Cars And Light Trucks Market, the report attempts to track the evolution of growth path of market from 2019, through 2020, and post the medical crisis. While the pandemic has compelled entire industry to shift its preferences, it has turned the industry and its sub-sectors upside down within no time. The report covers deep-dive analysis of this impact particularly on the Artificial Intelligence Ai Cars And Light Trucks Market.

Later, the report gives detailed analysis about the major factors fuelling the expansion of Artificial Intelligence Ai Cars And Light Trucks Market in the coming years. Some of the major factors driving the growth of Artificial Intelligence Ai Cars And Light Trucks Market are-

Artificial Intelligence Ai Cars And Light Trucks Market Regional Analysis Includes:

Asia-Pacific(Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia) Europe(Turkey, Germany, Russia UK, Italy, France, etc.) North America(the United States, Mexico, and Canada.) South America(Brazil etc.) The Middle East and Africa(GCC Countries and Egypt.)

Key Questions Answered in this Report on the Artificial Intelligence Ai Cars And Light Trucks Market:

> How much revenue will the Artificial Intelligence Ai Cars And Light Trucks Market generate by the end of the forecast period?> Which segment of the market is likely to have the maximum market share by 2026?> What are the impact factors and their effects on the market for Artificial Intelligence Ai Cars And Light Trucks Markets?> Which regions currently contribute the maximum share to the overall Artificial Intelligence Ai Cars And Light Trucks Market?> What are the indicators expected to drive the Artificial Intelligence Ai Cars And Light Trucks Market?> What are the essential strategies incorporated by key stakeholders in the Artificial Intelligence Ai Cars And Light Trucks Market to expand their geographic presence?> What are the major advancements being witnessed in the Artificial Intelligence Ai Cars And Light Trucks Market?> How do regulatory norms affect the market for Artificial Intelligence Ai Cars And Light Trucks Market?

Some of the Major Highlights of TOC (Table Of Content) Covers:

* Artificial Intelligence Ai Cars And Light Trucks Market Regional Market Analysis* Artificial Intelligence Ai Cars And Light Trucks Market Production by Regions* Global Artificial Intelligence Ai Cars And Light Trucks Market Production by Regions* Global Artificial Intelligence Ai Cars And Light Trucks Market Revenue by Regions* Artificial Intelligence Ai Cars And Light Trucks Market Consumption by Regions* Artificial Intelligence Ai Cars And Light Trucks Market Segment Market Analysis (by Type)* Global Artificial Intelligence Ai Cars And Light Trucks Market Production by Type* Global Artificial Intelligence Ai Cars And Light Trucks Market Revenue by Type* Artificial Intelligence Ai Cars And Light Trucks Market Price by Type* Artificial Intelligence Ai Cars And Light Trucks Market Segment Market Analysis (by Application)* Global Artificial Intelligence Ai Cars And Light Trucks Market Consumption by Application* Global Artificial Intelligence Ai Cars And Light Trucks Market Consumption Market Share by Application (2020-2026)* Artificial Intelligence Ai Cars And Light Trucks Market Major Manufacturers Analysis* Artificial Intelligence Ai Cars And Light Trucks Market Production Sites and Area Served* Product Introduction, Application and Specification* Artificial Intelligence Ai Cars And Light Trucks Market Production, Revenue, Ex-factory Price and Gross Margin (2020-2026)* Main Business and Markets Served

Key Success Factors And Artificial Intelligence Ai Cars And Light Trucks Market Overview Report Highlights:

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Credible Markets99 Wall Street 2124 New York, NY 10005Website:https://www.crediblemarkets.com/Email-%5Bemailprotected%5DUS Phone- +1(929)-450-2887Credible Markets Press Release https://www.credibleMarkets.com/press_releases

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Artificial Intelligence Ai Cars And Light Trucks Market 2020 2026 By Manufacturing Techniques, Product Specifications and Gross Margin - Verdant News

Working the stock market is a data game. Getting the best information, in a timely way, and knowing how to use it, are keys to success. So, here are some numbers to think about. According to industry market research, artificial intelligence companies and products are on the verge of explosive growth. The sector totaled some $10 billion in 2018; by 2025, the companies, products, value-added, and marketing are expected to reach over $125 billion.

You probably already are on it, even if you didnt realize. AI tech lies behind the growth of digital personal assistants like Alexa and Siri. Most online advertising and pop-ups are powered by AI systems.

All of these systems are going to improve, as engineers and developers fine-tune the coding, create new search apps, and update the underlying hardware. And those technological improvements are going to find their way into stock values. The companies that roll them out, and build on them, are going to get a share of the coming boom.

With this in mind, Wall Street analysts have tapped three lesser-known stocks as primed for gains. Theyre an interesting lot, spread across a variety of sectors, each with their own approach to artificial intelligence.

Opening up theTipRanks database, weve pulled the details on these names, to find out what makes them compelling.

Remark Holdings (MARK)

The first company on our list uses AI to power its network of subsidiaries. Remark Holdings has its hands in many baskets online retail, digital content delivery, facial recognition, and even Chinas somewhat notorious social credit system. The company is headquartered in Las Vegas, with offices in LA, Beijing, Shanghai, and Chengdu.

Remarks platform product, KanKan, is in use across China, especially in retail. The platform delivers insights on customer behavior, so that retailers can fine-tune operations and bring the right items to the sales floor at the right time. Online, KanKan offers market targeting and credit risk analysis in the fintech sector. And in the public safety niche, Remarks KanKan brings behavioral analytics to construction sites, restaurants, and roadways.

Like many emerging tech companies, Remark typically operates at a net loss. However, the scale of that loss has been declining in sequential quarters, even during the corona pandemic. EPS in the first quarter this year was (5 cents), while it improved to (4 cents) in Q2. Both of those results beat the forecast. Revenues have been growing steadily, too, from $260,000 in Q4 last year to $431,000 in Q1 this year, to $2.3 million in Q2, the most recent reported. The companys new bio-safety business, which uses AI to monitor thermal imaging products in casinos, restaurants, hotels, and medical centers and is based in the US brought in $1.1 million of that revenue.

Covering the stock for Roth Capital, 5-star analyst Darren Aftahi strikes an upbeat note in his comments on MARK.

MARK announced it has begun discussions for potential partnerships with larger global enterprise customers for AI software deployments, which could aid scale. Additionally, MARK is continuing to see healthy demand from new customers for thermal-based offerings, while current customers have also expressed interest in additional AI features, which we believe suggests MARKs solution has staying power with customers.

In line with this outlook, Aftahi rates MARK a Buy along with a $4.25 price target. This figure suggests that MARK shares have a stellar 425% upside potential from their current price of $1. (To watch Aftahis track record, click here)

Story continues

WISeKey International Holdings (WKEY)

Next on our list is WISeKey, a company in the cybersecurity industry. WKEY develops codes, crypto-algorithms, and chips necessary to the functioning of online digital security. The company does not confine itself to a single pathway; it creates secure digital identification ecosystems using AI, as well as blockchain and IoT systems. WKEYs customers include marketers, who are looking for brand protection, and financial institutions seeking secure digital systems.

Among WISeKeys key products are semiconductor chips used in secure microcontrollers and smart card readers. These chips enable AI platforms to speed up transactions while improving safety and privacy. The company is also heavily involved in online brand and digital identity protection. WKEYs AI enabled coding and algorithms power recognition software that improves security for customers needing signature or facial authentication.

WISeKey finished 1H20 with $8 million in revenues and $16 million in cash reserves, putting the company in a solid position to weather the COVID-19 pandemic.

Covering this stock for H.C. Wainwright, analyst Kevin Dede writes, "In our view, WISeKey represents an asymmetrical risk-reward opportunity heightened by what has proven to be a surprising ability to deliver a constant stream of new technology and solutions with realworld applicability, and perhaps most importantly, accordant customer relationships.

Dedes comments are optimistic, as is his Buy rating and $9 price target. This target implies implies 31% upside to the stock for the coming year. (To watch Dedes track record, click here)

Five9 (FIVN)

The last stock on todays list, Five9, is a cloud computing firm offering a scalable contact center platform based on intelligent cloud technology. With the corona virus pandemic having further pushed the ever-growing trend towards moving routine business online, Five9s services have become more important to its customers and more marketable.

The company has seen slow, steady revenue growth, which reached $99.8 million in Q2, and EPS that consistently beats the forecasts. While the company posted net losses in both Q1 and Q2, earnings in those quarters beat the estimates by 33% and 50% respectively.

Five9 uses AI tech to create a better customer contact platform. The companys products on mobile, web, chat, email, or social media streamline the agent-customer engagement, making inbound and outbound contacts more efficient for the contact center. One agent can handle each of the channels from a single desktop AI interface. The promise and more importantly, delivery of better online customer service is a gold mine in todays environment, and supports the quarterly results.

From Canaccord Genuity, 5-star analyst David Hynes sees Five9 as top-tier when it comes to technology and products.

One of several important differentiators for Five9 is the firms open platform and the best-of-breed choices that it avails to customers. In a continuation of that philosophy, Five9 has announced the availability of Voicestream, an API for streaming agent/caller audio to third-party applications in real-time. This API enables real-time, cloud-to-cloud media streaming so that developers and partners who are focused on AI and other innovative areas can integrate their applications directly into Five9s platform, Hynes opined.

Accordingly, Hynes gives FIVN shares a Buy rating, and his $145 price target suggests the stock has a 23% upside potential for the coming 12 months. (To watch Hynes track record, click here)

To find good ideas for AI stocks trading at attractive valuations, visit TipRanks Best Stocks to Buy, a newly launched tool that unites all of TipRanks equity insights.

Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

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3 Artificial intelligence Stocks to Consider as the Trend Heats Up - Yahoo Finance

International organizations and corporations are racing to develop global guidelines for the ethical use of artificial intelligence. Declarations, manifestos, and recommendations are flooding the internet. But these efforts will be futile if they fail to account for the cultural and regional contexts in which AI operates.

AI systems have repeatedly been shown to cause problems that disproportionately affect marginalized groups while benefiting a privileged few. The global AI ethics efforts under way todayof which there are dozensaim to help everyone benefit from this technology, and to prevent it from causing harm. Generally speaking, they do this by creating guidelines and principles for developers, funders, and regulators to follow. They might, for example, recommend routine internal audits or require protections for users personally identifiable information.

We believe these groups are well-intentioned and are doing worthwhile work. The AI community should, indeed, agree on a set of international definitions and concepts for ethical AI. But without more geographic representation, theyll produce a global vision for AI ethics that reflects the perspectives of people in only a few regions of the world, particularly North America and northwestern Europe.

This work is not easy or straightforward. Fairness, privacy, and bias mean different things (pdf) in different places. People also have disparate expectations of these concepts depending on their own political, social, and economic realities. The challenges and risks posed by AI also differ depending on ones locale.

If organizations working on global AI ethics fail to acknowledge this, they risk developing standards that are, at best, meaningless and ineffective across all the worlds regions. At worst, these flawed standards will lead to more AI systems and tools that perpetuate existing biases and are insensitive to local cultures.

In 2018, for example, Facebook was slow to act on misinformation spreading in Myanmar that ultimately led to human rights abuses. An assessment (pdf) paid for by the company found that this oversight was due in part to Facebooks community guidelines and content moderation policies, which failed to address the countrys political and social realities.

Theres a clear lack of regional diversity in many AI advisory boards, expert panels, and councils.

To prevent such abuses, companies working on ethical guidelines for AI-powered systems and tools need to engage users from around the world to help create appropriate standards to govern these systems. They must also be aware of how their policies apply in different contexts.

Despite the risks, theres a clear lack of regional diversity in many AI advisory boards, expert panels, and councils appointed by leading international organizations. The expert advisory group for Unicefs AI for Children project, for example, has no representatives from regions with the highest concentration of children and young adults, including the Middle East, Africa, and Asia.

Unfortunately, as it stands today, the entire field of AI ethics is at grave risk of limiting itself to languages, ideas, theories, and challenges from a handful of regionsprimarily North America, Western Europe, and East Asia.

This lack of regional diversity reflects the current concentration of AI research (pdf): 86% of papers published at AI conferences in 2018 were attributed to authors in East Asia, North America, or Europe. And fewer than 10% of references listed in AI papers published in these regions are to papers from another region. Patents are also highly concentrated: 51% of AI patents published in 2018 were attributed to North America.

Those of us working in AI ethics will do more harm than good if we allow the fields lack of geographic diversity to define our own efforts. If were not careful, we could wind up codifying AIs historic biases into guidelines that warp the technology for generations to come. We must start to prioritize voices from low- and middle-income countries (especially those in the Global South) and those from historically marginalized communities.

Advances in technology have often benefited the West while exacerbating economic inequality, political oppression, and environmental destruction elsewhere. Including non-Western countries in AI ethics is the best way to avoid repeating this pattern.

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AI ethics groups are repeating one of societys classic mistakes - MIT Technology Review

When an MIT researcher discovered that most facial recognition systems are less accurate with the faces of women and people of color, it brought to the forefront the issue of bias in technology that increasingly runs our society.Described byVarietyas a thought-provoking wake-up call,Coded Bias, a documentary film on the issue, will be presented in a special online screening bythe Appalachian Theatre of the High Country at 4 p.m. on Sunday, September 20 and will be followed by an online taped discussion with the films director, Shalini Kantayya. Please note the change in start time from the previous announcement about the documentary film series.

Coded Bias is the first event presented by BOONE DOCS, the newly-launched year-round film series at the App Theatre featuring documentary films that spark community conversation by presenting an independent lens to view our world. Showcasing emerging and award-winning filmmakers and distinct perspectives from across the globe, BOONE DOCS celebrates the creative power of independent film.

Artificial Intelligence (AI) technology is becoming more prevalent in areas that can profoundly impact peoples lives such as law enforcement and human resources. The film focuses on the work of three female mathematicians and data scientists Joy Buolamwini, Deborah Raji, and Timnit Gebru who research the implications of racial and gender bias in the cutting-edge technologies of AI and machine learning. Are the biases that exist in society being unconsciously replicated in the technology? Or worse, are opaque systems being used to shield deceptive practices?

As sci-fi writers have inspired the imagination of AI developers,Coded Biasdraws from science-fiction stylistic elements to visualize concepts in this new era of big data, says Kantayya, the films director. Coded Biasaims to inspire communities to spark new conversations about bias in the algorithms that impact civil liberties and democracy.

This event is made possible through the Southern Circuit Tour of Independent Filmmakers, a South Arts program. Since its inception in 1975, Southern Circuit has brought some of best independent filmmakers and their films from around the country to communities throughout the South. The program is supported by the National Endowment for the Arts.

In response to the COVID-19 pandemic, the 2020-21 Southern Circuit season features a hybrid model of in-person and online screenings to prioritize the health and flexibility of Screening Partner venues and filmmakers.

Coded Bias is offered free of charge to High Country audiences through the generous support of the theatres board of trustees. To subscribe to the theatres e-list and receive a link to view this event at no cost, visit the theatres website at http://www.apptheatre.org.

About the Appalachian Theatre

The mission of the Appalachian Theatre of the High Country is to revitalize and sustain this historic community touchstone as a quality home for diverse artists and audiences with a special focus on programs that celebrate our distinctive Appalachian heritage and enhance our capacity to serve as an economic catalyst for Boone and the High Country. Once a gorgeous 999-seat Art Deco movie house, the building closed in 2007 and sat empty and gutted for years. On October 14, 2019, the Appalachian Theatre re-opened its doors after a $10 million renovation that brought the distinctive Art Deco details back to this historic theatre and created a new 629-seat, state-of-the-art, acoustically fabulous venue for live concerts, films, plays, and dance performances. The historic Appalachian Theatre has entertained regional audiences in the heart of downtown Boone, North Carolina since 1938. http://www.apptheatre.org

About South Arts

South Arts advances Southern vitality through the arts. The nonprofit regional arts organization was founded in 1975 to build on the Souths unique heritage and enhance the public value of the arts. South Arts work responds to the arts environment and cultural trends with a regional perspective. South Arts offers an annual portfolio of activities designed to support the success of artists and arts providers in the South, address the needs of Southern communities through impactful arts-based programs, and celebrate the excellence, innovation, value and power of the arts of the South. For more information, visitwww.southarts.org.

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Filmmaker Reveals the Hidden Inequalities of Artificial Intelligence in Coded Bias in Online Screening by the Appalachian Theatre Sunday - High...

The COVID-19 crisis and the 2020 U.S. presidential election have created uncertainty in the nationcausingmarket volatility for investors. With the amount of unstructured content in the Internet today, researchers and analysts are turning to artificial intelligence and machine learning to automate hours of manual researching, identifying, and extracting data.

Accern's Presidential Election dashboard provides users with an out-of-the-box solution to gain insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard retrieves and analyzes data from Accern's integrated unstructured data store of over 1 billion global public news sites and blogs.To view the dashboard, email [emailprotected].

"We have reached a pivotal point in automating workflows in the financial industry, with a no-code, AI-platform. Investors can quicklybuild and deploy event-driven use cases in minutes without writing a single line of code," said Kumesh Aroomoogan, co-founder and CEO of Accern."Weare excited about the results of our new Presidential Election dashboard in providing financial service institutions the ability to research, track, and analyze sentiment to make better-informed investment decisions."

To enable news tracking and sentiment analysis on target candidates across the U.S., Accern implemented the following features and tactics:

To learn more about the Presidential Election dashboard or to build your own AI use case, please email [emailprotected]

About Accern Corporation:Accern enhances AI workflows for financial service enterprises with a no-code data science platform. Researchers, business analysts, data science teams, and portfolio managers use Accern to build and deploy Natural Language Processing(NLP)models with artificial intelligence(AI).The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading NLP solutions. Allianz, IBM, and Jefferies utilize Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. For more information on how we can accelerate AI adoption for your organization, visitaccern.com

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Media Contact: Grace Kim, [emailprotected]

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Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 US Presidential Election - PRNewswire