Artificial Intelligence (AI) has been one of the biggest technology success stories of the past decade. As the COVID-19 pandemic spread across the globe, researchers and entrepreneurs stepped up to devise new ways to combat it. From understanding and preventing the spread of the virus to diagnosing and treating it, startups and established technology companies in India are actively leveraging AI to support this fight.

Modeling the pandemic

Decision makers have increasingly relied on computer simulations to understand how the pandemic situation will evolve over time. TCS, in collaboration with Pune-based Prayas Health Group, is using digital twins to forecast the spread of COVID-19 in urban districts. A digital twin is a virtual computerised model of a physical system that takes real-world data as input and predicts the future evolution of the system.

"Macro models don't work well in countries like India which have high heterogeneity. So we developed ward-level digital twins that modelled the spread of the disease as a function of the number of proximal contacts, average duration of contacts, people and place characteristics, and population demographics like age, gender, comorbidities, etc, says Vinay Kulkarni, distinguished chief scientist, TCS. The model predictions closely match the observations reported by city corporations and empower the administration to take better locality-specific decisions."

Prevention

Ensuring people wear face masks and follow social distancing is expected to be a major challenge for organisations. AI is being used to monitor live CCTV feeds and instantly report violations of guidelines to safety administrators.

It is critical that a safe ecosystem is created for businesses and schools to re-open as soon as possible in spite of COVID-19, says Atul Arya, CEO of Blackstraw, an AI company. Our AI-powered health risk management system developed jointly by Blackstraw and Bharat Forge not only enables safety of humans and compliance with government guidelines, but also drives long-term behavioural changes that are crucial to live by in the new normal.

Diagnosis

The reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard for COVID-19 diagnosis. Due to long processing times, many hospitals use chest X-ray and CT scans for screening patients. Radiology scans are also useful in monitoring progression of the disease and assessing the degree of lung infection. AI has made rapid advances in the last few years in diagnosing tuberculosis amongst other pathologies from radiology images. Enterprising medical startups were quick to repurpose their TB solutions for COVID-19.

We do not believe AI can yet replace radiologists. Our AI solutions are, instead, designed to augment and assist them, says Dr Amit Kharat, a radiologist and co-founder at DeepTek. Our AI models have been used in the field to report over 80,000 X-rays for a government-run TB screening program. We are using the same base technology for COVID-19 screening.

By decreasing radiologist efforts and improving reporting times, such AI-enabled solutions help in making timely and accurate diagnosis affordable for everyone.

Treatment

TCS is using AI simulations to synthesise molecules and discover new drugs to fight the virus. From a candidate set of 50,000 molecules, their simulations selected 31 molecules that are now undergoing trials as potential cures.

A new untested drug needs to pass extensive clinical trials on human patients before approval. Hence, the short-term focus of pharmaceutical companies has been on repurposing existing drugs that have already cleared trials for COVID-19 treatment. Innoplexus is using AI to crunch through a massive dataset of available drugs to identify safe drugs that could disrupt the functioning of the virus.

Regulations and policy

Hospitals and governments have tempered their enthusiasm for AI with caution. AI systems are brittle and work only on the specific datasets that were used to build them. They need to be extensively tested on real-world data before being adopted in practice.

It is difficult to trust AI since it cannot explain its predictions, says Sahil Deo, an AI-policy expert and co-founder of CPC Analytics. There is also the question of who is to be held accountable if the AI mispredicts. We need a strong regulatory framework before we can widely adopt AI in decision making.

(The author has a masters degree in computer science from University of California, Berkeley and is currently pursuing a Ph.D. in Quantum Artificial Intelligence)

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How India is using Artificial Intelligence to combat COVID-19 - THE WEEK

Artificial Intelligence in Precision Medicine Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

Artificial Intelligence in Precision Medicine Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

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The key questions answered in this report:

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence in Precision Medicine market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Artificial Intelligence in Precision Medicine markets trajectory between forecast periods.

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Table of Contents:

Global Artificial Intelligence in Precision Medicine Market Research Report

Chapter 1 Artificial Intelligence in Precision Medicine Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Artificial Intelligence in Precision Medicine Market Forecast

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Massive Growth in Artificial Intelligence in Precision Medicine Market Set to Witness Huge Growth by 2026 | Intel AI, IBM, GE Healthcare, Thermo...

AI is changing the way customers interact with businesses. AI changes everything with how websites and bots will work along with many other tools and integrated systems. Businesses protect and manage digital assets and data of the company. There is a day-to-day struggle in businesses currently using artificial intelligence, which is made more difficult because of sequential technologies.

Many businesses are intrigued by the idea of turning to artificial intelligence for help in the sales process. AI is certainly capable of finding your best-qualified sales leads. AI can give you efficient issue resolution, and systems that feed actual data back in for future process and product improvements. However, most enterprises do not know where or how to get started with their new company AI.

Systems and data must connect to allow full use of capabilities as if all information were native to each. And also, edgeways to present information to end-users, though data is evolving on a constant basis. The environment requires specialized insight and know-how to ensure a smooth and continuous integration thats both relevant and current.

The intelligent experience is all about leveraging AI to derive predictive insights that can be embedded in the workflow. Companies seeking competitive advantage must find ways to make their business operations more intelligent.

AI functionality is poised to be a game-changer, exploring possibilities and opening up new roles and more business-central activities. However, its important to first understand how intelligent experience can help improve? It starts with a shift in focus.

Artificial intelligence is edging into business processes across organizations, however, when an organization interacts with the use of AI correctly, that shouldnt be a sign AI is running the experience behind the scenes.

AI has the power to make customers feel they are making their choices, but its the machine learning and the algorithms that are handling those decisions.

The most useful sense, when it comes to shifting in focus, is vision keeping track of the ability to give suggestions on how to improve.

Artificial Intelligence is going beyond the senses and going straight to the source the brain. The very reactive tactic, oftentimes, companies are late, identifying customers likely when its too late. This is because there is a major difference between predicting significant changes in the economy and a financial sign that becomes apparent only after a large shift has taken place.

Artificial Intelligence aims to heavily impact a number of industries worldwide shaping online customer experience models. The AI technology will take hold across many industries over the coming decade, and businesses firmly need to decide how AI will help them to optimize conversions.

Automating most internal processes, the operational effort involved in maintaining and controlling devices is reduced. However, simultaneously shifting focus, the marketplace, significantly allows configuration.

More cost-efficiency is rising from artificial intelligence, so customers can focus on increasing the quality and operations of their processes with just an increase in resources.

It is crucial to assess the landscape of the acquisition time period. This often is where perceptive relations start to form. Customers are going to be comparing their initial experience to the expectations entrepreneurs set during the sales process.

Processes of Artificial Intelligence are making significant progress in reducing several walks of life problems. It also provides automation of not-get interpretation and grasping, restructure the information.

With AI, as per the market, you can spur on processes, get value from data, and provide clients with a better experience. All those benefits can help drive sales and boost revenue.

The application of the AI system may now be defined in considerable detail. As of a rule, the cost of Artificial Intelligence requires intelligence on the work being done for proactive development. The development work is usually split into several feasibility studies and set business and project objectives.

However, if Artificial intelligence claims to be a plug-and-play canned legacy, you need to be highly suspicious. You need to have someone trained to take care of this system. (source: coseer.com.)

The sufficient algorithm performance is a key cost-effective factor, as often a high-quality algorithm requires a round of tuning sessions. To decide between various algorithmic approaches towards businesses, one needs to understand how exactly inculcation takes place under the hood, and what can be done to obtain competency.

If it is not clear up-front, one may end up in a situation of not-more-performing. AI is certainly exciting, but business owners cannot jump into it without first laying the foundation with basic analytics.

With so many possibilities for applying AI across an organization, in all likelihood, deploying an AI system must be effective. AI is often considered solely from a technology perspective and little wonder since its capabilities rely onand continually improve throughtechnical innovations.

Deploy with quick-witted positioned skills and a variety of tools to create AI algorithms that can be inserted into enterprise applications. Quick wins bring an added bonus. Meaning that getting the most out of AI is about validating AIs ability to spark value, keeping momentum and funding, and going for longer-term projects.

AI doesnt thrive in a vacuum. Businesses that generate value from AI deal with it as a major business transformation initiative that requires non-similar parts of the company to come together and work with probable expectations. AI is the future of business operations.

When contemplating an investment in AI, be sure you have pragmatic predictions and have a setup that will allow you to embed insights into the daily workflow of your organization. Through the power of AI, you can start blurring the lines between sales, service, and marketing.

The power of artificial intelligence needs a hard edge at business processes and the majority of resources. From there, your company can use AI in a way that actually helps your business grow and ultimately boost your bottom line.

Image Source: Pexels

Adedeji Omotayo is a Digital marketer, PR expert, content writer; the CEO, founder, and president of EcoWebMedia, a full-service digital marketing company. Adedeji is passionate about technology, marketing, and at the same time work with both small and big companies on their internet marketing strategies.

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Best Competency With Artificial Intelligence is by Having Intelligent Experience - ReadWrite

A new world of work is on the horizon, driven by artificial intelligence. By 2025, the World Economic Forum predicts that 52 per cent of total task hours across existing jobs will be performed by machines. By 2030, up to 800 million jobs could be replaced by technology altogether.

That said, the outlook is far from bleak. Rather than eliminating positions, technology is expected to bring about net positive jobs over the coming decade but a fact equally as important (and often overlooked) is that artificial intelligence presents an opportunity for a more socioeconomically inclusive career start.

Throughout much of the past century, a persons success in life could be largely attributed to their socioeconomic circumstances at birth. Studies have shown that children born into middle-class homes have greater access to opportunities that are more highly correlated with successful occupational outcomes, such as good schools and financial support. As a result, these children are far more likely to succeed in primary school, high school and post-secondary education.

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These advantages are compounded when it comes to hiring for jobs out of post-secondary school. Resumes, in this way, mirror our privilege.

The criteria for success in the future of work, however, presents an opportunity for a fairer system to assess job fit: skills.

If machine intelligence becomes a large source of expertise (i.e., cancer-screening detection, market research analytics and driving, just to name a few), people will need to adapt and change their skillsets to remain employable. A recent white paper published by IBM rated adaptability as the most important skill that executives will be hiring for in the future. Moreover, as technology continues to advance, our technical skills continue to depreciate (by approximately 50 per cent every five years).

As a result of all of these changes, we will have to upskill (which is the process of learning new skills or teaching workers new skills). Well have to learn and unlearn throughout the majority of our working lives. This changes the formula from front-loading education early in life to a life of continuous learning. It also places skills, like that adaptability mentioned above, more centrally as the currency of labour.

As the CEO of Upwork, one of the fastest-growing gig platforms in the world, wrote two years ago, What matters to me is not whether someone has a computer science degree, but how well they can think and how well they can code. The CEO of JPMorgan Chase, Jamie Dimon, echoed a similar sentiment, stating that the reality is, the new world of work is about skills, not necessarily degrees.

Of course, degrees will still have value. It will also take some time to readjust our job-fit assessment infrastructures. However, paths that do not include a four-year post-secondary degree will also be included in the job-fit assessment as skills become central. This can make room for more inclusive opportunities for career advancement.

Having a more inclusive job-fit assessment infrastructure, however, will not happen automatically. There are many challenges that governments and employers will have to overcome, and actions they will need to take:

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The adoption of advanced technologies in the workforce will revolutionize work. In fact, our very definition of what it means to work may change. How governments and employers respond to these changes will have a large impact on whether this results in positive gains for more people. We have the potential to build a future that works for more people than it currently does, and it is up to us to make it happen.

Sinead Bovell is a futurist and founder of WAYE (Weekly Advice for Young Entrepreneurs), an organization aiming to educate young entrepreneurs on the intersection of business, technology, and the future. She is the Leadership Lab columnist for August 2020.

This column is part of Globe Careers Leadership Lab series, where executives and experts share their views and advice about the world of work. Find all Leadership Lab stories at tgam.ca/leadershiplab and guidelines for how to contribute to the column here.

Stay ahead in your career. We have a weekly Careers newsletter to give you guidance and tips on career management, leadership, business education and more. Sign up today or follow us at @Globe_Careers.

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Artificial intelligence isnt destroying jobs, its changing them - The Globe and Mail

Artificial intelligence (A.I.) will one day integrate into human lives.

While some of us are worried this form of technology will take over many jobs, its also being used to enhance currently existing technology.

But for those of you that still dont understand the potential of what AI can do, here are some tools and games you can try on your web browser.

Sometimes when youre playing the piano, you might wish that you could perform a duet with someone else, only to realize that the people around you are tone deaf and should never touch a musical instrument.

The good news is there's a program called A.I. Duet that can listen to the notes youre playing and try to follow up with its own tunes.

It works best when youre playing a real song and not just some random notes. The application even allows you to plug in a MIDI keyboard for a full-on duet experience.

If you love Netflixs Stranger Things and want more of it in your life, youre in for a treat.

Neural network developer David Arcus uses AI that can take an image and turn it into a Stranger Things-like poster. It can also understand whats on the image that youve uploaded and change the title of the show into something like Stranger Public Speaking, Stranger Personal Protective Equipment, and more.

The A.I. seems to use the same design for each image, only with a few differences in the positioning. But its quite impressive that it knows how to pick up on the correct context in the picture.

It also makes for a great profile picture for your social media accounts.

Google has a wide variety of AI experiments for anyone to try.

One of them is called Quick, Draw. A Pictionary game where you have to draw a picture, while AI tries to guess what you've drawn.

The program is connected to a data set of 50 million doodles from which it learns terrible drawings and works of art. It tries to combine both these skill levels and use them as a reference to what youre drawing. The cool part about this program: It will show you which doodles it used as a reference to guess your drawings.

If you're a master doodler, you can contribute to the drawings by uploading it to the doodle data set, which in turn, will improve the AI's guessing feature.

Moving away from fun and games, lets look at some tools that use AI to help those in need.

One of the best accessibility apps that Ive ever seen is the Seeing AI phone application from Microsoft. Seeing AI, to put it simply, is an app that narrates the world around you.

Just point the camera at literally anything, and the app will give you a context of whats around you. It has multiple features built-in, like text dictation and scene identification. It can even read banknotes.

Sadly, Seeing AI is only available on iOS, and Microsoft currently has no plans to release it on Android.

Yes, Im talking about Google Assistant and Siri for Android and iOS, respectively.

These virtual assistants are your training wheels when getting into the world of A.I. Even for those who have disabilities, Google Assistant and Siri have come a long way in making life better and smarter.

While some might argue that Google Assistant is more superior, nevertheless, both can make calls, play music, answer questions, and control your smart home appliances. Ill admit, Google does have the upper hand when it comes to smart assistants with their Google Duplex feature.

It can make calls and appointments on your behalf. It mimics the voice and tone of a real human when speaking with the person on the other end. It can even use filler words like 'mm-hmm' to add to the human-like experience.

I dont think we should fear the impending doom of AI taking over our jobs. I believe it will be here to enhance our lives and daily tasks. As is evident above. they can be fun and helpful too.

Cover image sourced from Laughing Squid and Microsoft.

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These 5 apps will help you dip your toes into the world of Artificial Intelligence - Mashable SE Asia

A play written entirely by artificial intelligence is expected to premiere next January.

Created by Czech researchers at Charles University, vanda Theater and the Academy of Performing Arts in Prague, the piece will be a new reimagining of science-fiction script R U R by Josef apek.

The play, which celebrates its 100th anniversary next year, is the first to explore the concept of a "robot" and introduced the word to the English language.

According to TechXplore, who interviewed one of the researchers Rudolf Rosa, the process has been a protracted one, with the team having to break down the overall play into individual scenes and moments that the AI can turn into dialogue.

The team is utilising what is known as a "pre-trained language model" (ie an AI system that has been fed with a wide array of English literature texts). The main limiting factor at the moment is that the existing model has not yet been trained to produce performance-suitable scripts, so the plan is for researchers to "feed" the AI with plays for it to learn from.

The model essentially takes a small chunk of existing text (in this case, apek's original play) and then is "inspired" to create further lines, themes and ideas.

As Rosa puts it: "When we fed GPT-2 a scene setting and a few lines of the drama script, it generated further lines in the same style and focusing on the topic of the input script chunk."

As an open-source AI, it's available for anyone to use, and the results are already rather startling. As Rosa says, "We only fed it a few lines from a script and it picked up its genre, structure, topic and character names, using this information to generate more or less plausible lines.

"This was achieved without any adaptation or fine-tuning: we just used the model as it is available online for download, which shows that GPT-2 models really are quite powerful."

But humans are a vital aspect of the development, with Rosa saying that creatives "touch and retouch" what is created by the machine. Though this doesn't mean the human simply rewrites the lines: "We are trying to be very explicit on what the machine does and what a human does, making their cooperation an integral part of the system design, not a post-hoc fix."

The new play is expected to premiere in 2021, with a final script ready by September for actors to rehearse with. According to the Czech team, future plans include getting a play to be performed entirely by robots, without human performers or guidance.

A recent project led by Andy Serkis sought to use digital technology to allow actor's motions to be captured and then projected onto a table-top to create a "live" at-home experience. Utilising the hit musical The Grinning Man as a test, the machine was also able to swap out character features and alter dialogue.

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New play written by artificial intelligence expected to premiere in 2021 - WhatsOnStage.com

This detailed and meticulously composed market research report on the Artificial Intelligence in Medical Imaging market discussed the various market growth tactics and techniques that are leveraged by industry players to make maximum profits in the Artificial Intelligence in Medical Imaging market even amidst pandemic situation such as COVID-19.

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Global Artificial Intelligence in Medical Imaging Market 2025 Scope and Opportunities Analysis in Pandamic Crisis : Google Inc., Cisco, IBM Corp.,...

Technavio has been monitoring the artificial intelligence (AI) chips market and it is poised to grow by USD 54.03 billion during 2020-2024, progressing at a CAGR of over 42% during the forecast period. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.

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Technavio has announced its latest market research report titled Global Artificial Intelligence (AI) Chips Market 2020-2024 (Graphic: Business Wire)

Technavio suggests three forecast scenarios (optimistic, probable, and pessimistic) considering the impact of COVID-19. Please request Free Sample Report on COVID-19 Impact

Frequently Asked Questions-

The market is fragmented, and the degree of fragmentation will accelerate during the forecast period. Advanced Micro Devices Inc., Alphabet Inc., Apple Inc., Huawei Technologies Co. Ltd, International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Qualcomm Inc., and Samsung Electronics Co. Ltd. are some of the major market participants. The increasing adoption of AI chips in data centers will offer immense growth opportunities. To make the most of the opportunities, market vendors should focus more on the growth prospects in fast-growing segments, while maintaining their position in the slow-growing segments.

Artificial Intelligence (AI) Chips Market 2020-2024: Segmentation

Artificial Intelligence (AI) Chips Market is segmented as below:

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Artificial Intelligence (AI) Chips Market 2020-2024: Scope

Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. Our artificial intelligence (AI) chips market report covers the following areas:

This study identifies convergence of IoT and AI as one of the prime reasons driving the artificial intelligence (AI) chips market growth during the next few years.

Artificial Intelligence (AI) Chips Market 2020-2024: Vendor Analysis

We provide a detailed analysis of vendors operating in the artificial intelligence (ai) chips market, including some of the vendors such as Advanced Micro Devices Inc., Alphabet Inc., Apple Inc., Huawei Technologies Co. Ltd, International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Qualcomm Inc., and Samsung Electronics Co. Ltd. Backed with competitive intelligence and benchmarking, our research reports on the artificial intelligence (AI) chips market are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.

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Artificial Intelligence (AI) Chips Market 2020-2024: Key Highlights

Table of Contents:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by Product

Customer Landscape

Geographic Landscape

Vendor Landscape

Vendor Analysis

Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

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COVID-19 Impact: Artificial Intelligence (AI) Chips Market Will Accelerate at a CAGR of Over 42% Through 2020-2024 | Increasing Adoption of AI Chips...

The Tory Burch Foundation Summit in early March was a gathering of some of the most prominent executives and entrepreneurs in the world.

Bank of America COO Thomas Montag former AOL CEO Steve Case, and Dina Powell McCormick, partner and member of the Management Committee at Goldman Sachs, were a few of the execs who spoke about how they sought to make their companies more inclusive.

A prominent theme throughout the conference was gender parity in the workplace.

"The word 'ambition' takes on a completely different meaning when applied to a woman than when applied to a man," Burch told Business Insider. "Women are criticized for exhibiting the exact same quality men are praised for. This has to change. We do that by shining a light on unconscious gender bias, which was the focus of our Summit."

Yasmin Green, director of research and development at Jigsaw, a unit of Google parent company Alphabet, spoke about one particularly complex hurdle in modern society: the difficulty of programming artificial intelligence without bias.

The problem with training AI on humans, Green said, is that humans are biased, and when the data that feeds AI is biased, then the AI becomes biased itself.

Green detailed an experiment that demonstrated this unconscious bias in AI. She and her team created the same fake professional profile for a woman and a man and browsed online job sites as each of these imaginary people. In the end, they found that men were five times as likely to see ads for higher-paying jobs than women.

This, she said, was because women believe they must fulfill 100% of the requirements before they apply to a job, whereas men believe they only need to meet at least 60% of the requirements before they apply to the job.

"So at the same skill level, we [women] are clicking on jobs that are less senior and less well paid," Green said. "But if we click that way, then the internet is going to learn and that's what we're going to see."

Green not pictured. Stokkete/shutterstock

Green cited another example, in which she and her team had trained an AI model to pick up on hate speech on social media. After a few trials, their AI model began to flag the sentence, "I am a proud gay man," as a hate sentence.

Green said this was because they trained the AI model by using millions of example sentences that humans wrote on the internet, and most sentences and comments thatcontained the word "gay" were negative 80% of them, in fact.

Therefore, the AI model Green's team experimented with took this data and learned to associate the term "gay" with something negative and hateful.

"I ask myself how can I raise my daughters to make good decisions in life, [and] to be more compassionate and less prejudiced than the world around them," Green said at the conference. "The question for us are we content with algorithms that reflect back to us the way the world works?"

To help prevent situations like this and lessen the bias in AI, Green said social justice activism needs to be expanded to include algorithm. She also noted the importance of having diverse representation in AI programming.

"It's not enough just to automate human behavior," she said. "We need to make sure that what's reflected back to us in algorithms is something that's better than we are."

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The Artificial Intelligence in Fashion Market report upholds the future market predictions related to Artificial Intelligence in Fashion market size, revenue, production, Consumption, gross margin and other substantial factors. It also examines the role of the prominent Artificial Intelligence in Fashion market players involved in the industry including their corporate overview. While emphasizing the key driving factors for Artificial Intelligence in Fashion market, the report also offers a full study of the future trends and developments of the market.

The Europe artificial intelligence in fashion market accounted for US$ 69.2 Mn in 2018 and is expected to grow at a CAGR of 34.0% over the forecast period 2019-2027, to account for US$ 933.9 Mn in 2027. Availability of massive amount of data due to increasing proliferation of digital services such as Chatbots and increase in operational efficiency & sales through intelligent automation is driving artificial intelligence in fashion market growth. In addition, implementation of natural language programming (NLP) to fashion industry pose significant opportunities for artificial intelligence in fashion market vendors. The fashion industry across the globe is embracing and investing in disruptive technologies such as IoT, AI, predictive analytics, and big data, among others. This increasing adoption is driven by the successful implementation of AI, which resulted in enhanced operational efficiency, increased sales revenue, and improved customer experiences. Apparel and clothing brands are looking for innovative ways to get their products in front of buyers and to significantly create awareness and demand in the market. Fashion brands are implementing machine learning and AI to maximize users' experience and to increase sales through intelligent automation.

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The overall artificial intelligence in fashion market size has been derived using both primary and secondary source. The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the artificial intelligence in fashion market. It also provides an overview and forecast for the artificial intelligence in fashion market based on all the segmentation provided with respect to the European region. Also, primary interviews were conducted with industry participants and commentators to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the artificial intelligence in fashion market. Some of the players present in artificial intelligence in fashion market are Adobe Inc., Amazon Web Services, Inc., Catchoom Technologies S.L., Facebook, Inc., Google LLC, Huawei Technologies Co., Ltd., IBM Corporation, Microsoft Corporation, Oracle Corporation, and SAP SE among others.

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The artificial intelligence in fashion market is fragmented in nature due to the presence of several end-user industries, and the competitive dynamics in the market are anticipated to change during the coming years. In addition to this, various initiatives are undertaken by governmental bodies to accelerate the artificial intelligence in fashion market further. Technological advancements are moving at a fast pace especially in case of adoption of artificial intelligence. The governments of various European states are concerned with the legal and privacy implications of artificial intelligence and its applications. Many countries have raised concerns with the liability and responsibility in case any unwanted occurrence happening because of artificial intelligence; whether it is a manufacturer, developer, controller, or even a robot. The European countries are closely monitoring the developments related to artificial intelligence and machine learning technology and also planning to outline regulations/guidelines for a holistic development of AI and other related technologies.

Global Artificial Intelligence in Fashion Market: Drivers and Restraints: This section of the Artificial Intelligence in Fashion Market Analysis report we are covering various drivers and restraints that have affected the global Artificial Intelligence in Fashion market. The complete study of plentiful drivers of the market enables market professionals to get a clear viewpoint of the Artificial Intelligence in Fashion market share, which consists of Artificial Intelligence in Fashion industry environment, advancement market, product innovations, latest developments, and Artificial Intelligence in Fashion market risks.

The AI in fashion market by offering is segmented into solutions and services. Among the list of emerging technologies including, AI, IoT, blockchain, AR/VR, and 3D printing, the artificial intelligence has been at the forefront of disruption for every industry. Perhaps one of the most noticeable ways the fashion and technology have been incorporated is the capability to turn a diverse set of data into enriching, engaging information. The artificial intelligence in fashion market by offerings is dominated by the solutions segment in the year 2018 and is anticipated to continue its dominance in the forecast period. The fashion retailers are progressively moving towards advanced technologies which can streamline their business processes and help attain new customers. Moreover, finding current trends by various social media platforms and catering to the consumers every requirement has become challenging for the organizations. Hence, fashion brands and retailers are progressively adopting AI-based solutions, comprising platform and software tools such as SDKs, APIs, and ML models.

Some of the Highlights about Table of Content of Artificial Intelligence in Fashion Market

1 Artificial Intelligence in Fashion Market overview

2 Executive Summary

3 Market Drivers, Challenges and Trends

4 Marketing, Distributors and Customer

5 Key Players Analysis

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Artificial Intelligence in Fashion Market outlook, Future Scope, Demands and Projected Industry Growths to 2027 - CueReport