Archive for the ‘Artificial Intelligence’ Category

Global Artificial Intelligence (AI) in Beauty and Cosmetics Market worth US$ 13.34 Billion by 2030 – Exclusive Report by InsightAce Analytic -…

JERSEY CITY, N.J., Jan. 28, 2022 /PRNewswire/ -- The newly published report titled "Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market By Trends, Industry Competition/Company Profiles Analysis, Revenue (US$ Billions) and Forecast Till 2030." features in-depth analysis and an extensive study on the market, exploring its significant factors.

According to the latest market intelligence research report by InsightAce Analytic, the global Artificial Intelligence (A.I.) in Beauty and Cosmetics market size was valued at US$ 2.70 Billion in 2021, and it is expected to reach US$ 13.34 Billion in 2030, record a promising CAGR of 19.7% from 2021 to 2030.

Request Sample Report:https://www.insightaceanalytic.com/request-sample/1051

The beauty and cosmetic sector have witnessed a massive upsurge in Artificial Intelligence (A.I.) in recent years. Due to advancements in A.I. technologies and the fact that beauty is characterized as a personalized and engaging market that generates a large amount of data, A.I. appears to be a solution to deal with this complex environment, prompting beauty companies to make data-driven decisions on their strategies to remain competitive. The beauty market has changed dramatically over the last decade, owing to the introduction of new technology and a shift in customer shopping behaviors. The beauty sector has been incorporating digital transformation into its business models to give consumers individualized skin regimens and beauty products tailored to their specific needs.

The Artificial Intelligence (A.I.) In Beauty and Cosmetics Market, growth can be attributed to the Integration of advanced technology like A.I. in the beauty and cosmetic field, providing new ways of engaging with the consumer, bringing efficiency and custamised solutions to the beauty client such as virtual try-on and personalized products. Increased demand for beauty products and technological advancements is expected to positively impact market growth. The outbreak of Covid-19 has changed consumer purchasing patterns across the beauty and cosmetic industry due to strict lockdown situations and the practice of social distancing across various countries. However, The COVID-19 crisis is likely to create opportunities for beauty and cosmetic brands due to the growing demand for personalized beauty & cosmetic products and the rapidly evolving eCommerce sector. According to one of the fashion-industry trade journals, online sales at Sephora now account for 70-80% of total sales after the pandemic.

Preview for Detailed TOC: https://www.insightaceanalytic.com/report/global-artificial-intelligence-ai-in-beauty-and-cosmetics-market/1051

Competitive Analysis:

There has been an influx of Beauty Tech implementations on the global market with the rapid expansion of the beauty and cosmetic industry. Key companies are constantly testing and launching new features with key strategic partners with innovative services, covering the market's demands. Their focus on serving their clients' needs, both brands and end-consumers, and the constant technological development are the key factors in boosting market growth. Companies like L'Oral, and PROVEN, among others, have already recognized such potential and are applying A.I. in different ways. For instance, L'Oral is implementing A.I. strategies on their business. Followed L'Oral, by PROVEN has the largest skincare database and, with the input from the consumer, matches their data, creating unique and customized products using A.I. mechanisms.

The prominent players in the Artificial Intelligence (A.I.) in Beauty and Cosmetics industry include:

Beiersdorf (NIVEA SKiN GUiDE), L'Oral's (Modiface, Hair Coach), Olay (Skin Care App), CRIXlabs (DBA Quantified Skin), Shiseido (Optune System), Procter & Gamble (Opte Wand), My Beauty Matches, Yours Skincare, EpigenCare Inc., mySkin, Haut.AI, Luna Fofo, Revieve, ANOKAI. CA., Pure & Mine, Youth Laboratories, Spruce Beauty, Nioxin, New Kinpo Group, Perfect Corp, Symrise (Philyra), Sephora USA, Inc. (Virtual Artist), Function of Beauty LLC, Este Lauder, Coty Inc. (Rimmel), Givaudan, Beautystack and Polyfins Technology Inc and Other Prominent Players.

Key Industry Developments from Leading Players:

Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Regional Analysis:

North America is expected to dominate the growth of A.I. in the beauty and cosmetic market due to the expansion of the beauty and cosmetic industry and prominent e-commerce companies like Amazon and Sephora. Asia Pacific region is expected to experience the fastest growth in the global A.I. in beauty and cosmetic market due to rapidly increasing consumer spending and expansion of the e-commerce sector across the region. In emerging countries like China, India, and Japan, the beauty e-commerce space is adapting to multiple models to enhance the e-commerce shopping experience for consumers.

Enquiry Before Buying:https://www.insightaceanalytic.com/enquiry-before-buying/1051

The Global Artificial Intelligence (A.I.) in Beauty and CosmeticsMarket Segments

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2020 to 2030 based onService/Product

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2020 to 2030 based on Application

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2020 to 2030 based on Region

North America Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2020 to 2030

Europe Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2020 to 2030

Asia PacificArtificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country,2020 to 2030

Latin AmericaArtificial Intelligence (A.I.) in Beauty and Cosmetics Market EstimatesRevenue (US$ Billion) by Country, 2020 to 2030

The Middle East & Africa Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2020 to 2030

For Customized Information @ https://www.insightaceanalytic.com/report/global-artificial-intelligence-ai-in-beauty-and-cosmetics-market/1051

Other Related Reports Published by InsightAce Analytic:

Global Next-Generation Personalized Beauty Market

Global Artificial Intelligence (A.I.) In Beauty and Cosmetics Market

Global Personalized Skin Care Market

Global Bio-Based Cosmetics and Personal Care Ingredients Market

About Us:

InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain a competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets, and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.

Contact Us:

Priyanka Tilekar InsightAce Analytic Pvt. Ltd. Tel : +1 551 226 6109 Asia: +91 79 72967118 Visit:www.insightaceanalytic.com Email:[emailprotected] Follow Us on LinkedIn @bit.ly/2tBXsgS Follow Us OnFacebook@bit.ly/2H9jnDZ

SOURCE InsightAce Analytic Pvt. Ltd.

Read the original:
Global Artificial Intelligence (AI) in Beauty and Cosmetics Market worth US$ 13.34 Billion by 2030 - Exclusive Report by InsightAce Analytic -...

Our children are growing up with AI: what you need to know – World Economic Forum

A 2019 study conducted by DataChildFutures found that 46% of participating Italian households had AI-powered speakers, while 40% of toys were connected to the internet. More recent research suggests that by 2023 more than 275 million intelligent voice assistants, such as Amazon Echo or Google Home, will be installed in homes worldwide.

As younger generations grow up interacting with AI-enabled devices, more consideration should be given to the impact of this technology on children, their rights and wellbeing.

AI-powered learning tools and approaches are often regarded as critical drivers of innovation in the education sector. Often recognized for its ability to improve the quality of learning and teaching, artificial intelligence is being used to monitor students' level of knowledge and learning habits, such as rereading and task prioritization, and ultimately to provide a personalized approach to learning.

Knewton is one example of AI-enabled learning software that identifies knowledge gaps and curates education content in line with user needs. Algorithms are also behind Microsoft`s Presentation Translator that provides real-time translation in 60 different languages as a presentation is being delivered. This software helps increase access to learning, in particular for students who have a hearing impairment. AI, though not always successfully, is also increasingly used to automate grading and feedback activities.

With such broad potential for use in the education system, forecasts by Global Market Insights suggest that the market value of AI in education will reach $20 billion by 2027.

In addition to education, AI is also advancing children's health. In recent years, progress in research on the role of AI in the early detection of autism, signs of depression from children's speech and rare genetic disorders has made headlines. There are also growing examples of the deployment of AI to ensure child safety by identifying online predators and practices such as grooming and child exploitation.

Despite the positive applications of AI, there is still a lot of hesitation towards the technology in certain regions. A 2019 survey conducted by IEEE revealed that 43% of US and 33% of UK millennial parents respectively would be comfortable with leaving their children in the care of an AI-powered nurse during hospitalization. In contrast, millennial parents in China, India and Brazil are more receptive to artificial intelligence where 88%, 83% and 63% respectively would be comfortable with a virtual nurse caring for their child in hospital. Similar findings were found for the use of AI-powered robots in paediatric surgery.

Scepticism on the widespread use of AI is also present in discussions on children`s privacy and safety. Children's information including sensitive and biometric data is captured and processed by intelligent devices including virtual assistants and smart toys. In the wrong hands, such data could put children's safety at risk.

For example, amid security fears, in 2017 CloudPets teddy bears were withdrawn from the shelves following a data breach that exposed private information including photos and recordings of more than two million children's voice messages.

The latest figures show that 56% of 8-12-year-olds across 29 countries are involved in at least one of the world's major cyber-risks: cyberbullying, video-game addiction, online sexual behaviour or meeting with strangers encountered on the web.

Using the Forum's platform to accelerate its work globally, #DQEveryChild, an initiative to increase the digital intelligence quotient (DQ) of children aged 8-12, has reduced cyber-risk exposure by 15%.

In March 2019, the DQ Global Standards Report 2019 was launched the first attempt to define a global standard for digital literacy, skills and readiness across the education and technology sectors.

The 8 Digital Citizenship Skills every child needs

Image: DQ Institute

Our System Initiative on Shaping the Future of Media, Information and Entertainment has brought together key stakeholders to ensure better digital intelligence for children worldwide. Find our more about DQ Citizenship in our Impact Story.

Serious concerns have also been raised over the use of children's data, such as juvenile records in AI systems, to predict future criminal behaviour and recidivism. Other than posing a threat to privacy, civil society representatives and activists have warned against possible discrimination, bias and unfair treatment.

To ensure that AI is child-centred, decision-makers and tech innovators must prioritize children's rights and wellbeing when designing and developing AI systems. UNICEF and OHCHR have been particularly vocal in this regard. As part of its AI for Children project, UNICEF has worked closely with the World Economic Forum to develop policy guidance on artificial intelligence for children featuring a set of recommendations for building AI policies and systems that, among other things, uphold children's rights to privacy and data protection.

As part of its Generation AI initiative and conversations on global standards for children and AI, the World Economic Forum is also spearheading the Smart Toys Awards to maximize the learning opportunities of smart toys and minimize the risks posed to safety and children.

Rate of automation in the workforce.

Image: World Economic Forum

Estimates suggest that, by 2065, 65% of children in primary school today will work in positions that have not yet been created. From a practical standpoint, AI should be incorporated into school curricula to equip future generations with coding skills and provide them with adequate AI training. At the same time, children should be taught to think critically about the technology and to inform their judgements about related threats and opportunities. Such efforts should be inclusive of all children and therefore should seek to bridge the digital literacy gap between the Global North and Global South.

More global action will be needed to ensure that children's best interests are reflected and implemented in national and international policies, design and development of AI technologies. There is no doubt that artificial intelligence will change the way children interact with their surroundings including their learning, play and development environment. However, it is our responsibility to ensure that this change becomes a force for good.

Written by

Natasa Perucica, Research and Analysis Specialist, Cybersecurity Industry Solutions, World Economic Forum

The views expressed in this article are those of the author alone and not the World Economic Forum.

See more here:
Our children are growing up with AI: what you need to know - World Economic Forum

How Artificial Intelligence Boosts the Adoption of Gaming Systems – Finance Magnates

Gaming systems in the past few years have received an enormous boost. Their rise, accompanied by artificial intelligence, has created new ways and means for players to have a better gaming experience.

Interactive gaming across borders has become possible with the rise of web3 technologies. This gaming niche is especially popular with younger gamers. Web3 technologies have enabled the growth and evolution of virtual economies within gaming ecosystems, taking interaction to the next level.

AI technologies automate the background processes that keep these virtual economies running. Most of these technologies still require human administrative interventions at different levels without artificial intelligence. That hindered industry growth before now. Artificial intelligence seamlessly integrates multiple activities simultaneously. It allows gaming platforms to include players within new scenarios and activities that seemed impossible.

Marketplaces within gaming ecosystems have been the bane of the emergence of new gaming ecosystems. These marketplaces enable players to create virtual assets and engage in commerce. So much so that many players make a full-time living from such activities.

Related content

AI technologies primarily regulate these activities. Especially for marketplace administration, trade regulation, peer-to-peer marketplace management, and so on.

These activities spur these new marketplaces. Gaming systems grow with the emergence of new technologies. Artificial Intelligence increases the efficiency, player integrations and improves the adoption rates of these gaming ecosystems. These benefits and more have inspired gaming developers to include artificially intelligent components in gaming ecosystems design.

On the flip side, there are AI components that enable bad actors. Using AI bots for competitions is a perfect example of such dangerous practices. These AI bots enable cheats to deny legitimate players within gaming ecosystems fair play, giving the cheater a tremendous advantage. While bot use isn't widespread, the practice is growing faster than ever before and is one problem gaming ecosystems will face from now on.

To counter the rise of such concerns, the use of AI blockchains can help prevent bot use and other practices from becoming widespread. Artificially Intelligent blockchains provide a basis for the mass screening of players and quarantining suspicious cases until human verification occurs.

AI blockchains can take the administration of gaming ecosystems to the next level. With minimal human interactions, most activities get handled by nodes within these blockchains, increasing the fidelity, integrity, and security of such ecosystems.

One AI blockchain, Oraichain, brings all the tools needed to manage gaming ecosystems to the table and more. Oraichain features an on-chain oracle AI component, an AI marketplace, AI model provider request and fulfillment for users, a decentralized autonomous organization (DAO), and more. Oraichain's suite of tools allows game developers to bring AI to their games while enjoying the benefits of blockchain technology simultaneously.

For the sake of an #Oraichain Mainnet with great transparency and the well-being of delegators https://t.co/r0Aoj0oaRG pic.twitter.com/avp7KJX3F1

The provision of on-chain oracle services increases the adoption rate of such gaming ecosystems. It also enables the increased dynamism of blockchain-based services. Thus helping players and gaming ecosystems to achieve the most that they can.

How Games Have Evolved in The Past Decade And More

From the days of the Tekken series and Crash Bandicoot on Sony's PlayStation to the rise of interactive games such as Second Life and IMVU, gaming ecosystems have come a long way from two or three decades ago. Games such as Sonic the Hedgehog, Super Mario, and The Lion King represented everything players could get from big-name developers.

Today, more games have players using internet-enabled technologies to play, interact and have fun within single interfaces. Niche gaming systems such as Kawaii Islands, an Anime gaming metaverse ecosystem, and others have enabled the next-level evolution of gaming ecosystems.

Emerging technologies like Metaverse ecosystems perfectly fulfill the various needs gaming developers face and give them a chance to expand their ideas beyond the original scenarios and thought-out storylines.

Integrating web3 technologies with ecosystems like the Kawaii Islands project enables the development of a new paradigm. One where gaming ecosystems benefit players to the point where it's no longer about the gaming scenarios but about players getting to know themselves.

By taking this approach, gaming ecosystems could become another level of the internet. Bringing people together in ways never thought of before but made possible by integrating business and technology.

It also serves as the vehicle for expanding the role AI plays within such ecosystems. AI models can speed up the process, giving everyone the chance to have the best experience possible. Something that is the goal of any gaming ecosystem.

Gaming systems in the past few years have received an enormous boost. Their rise, accompanied by artificial intelligence, has created new ways and means for players to have a better gaming experience.

Interactive gaming across borders has become possible with the rise of web3 technologies. This gaming niche is especially popular with younger gamers. Web3 technologies have enabled the growth and evolution of virtual economies within gaming ecosystems, taking interaction to the next level.

AI technologies automate the background processes that keep these virtual economies running. Most of these technologies still require human administrative interventions at different levels without artificial intelligence. That hindered industry growth before now. Artificial intelligence seamlessly integrates multiple activities simultaneously. It allows gaming platforms to include players within new scenarios and activities that seemed impossible.

Marketplaces within gaming ecosystems have been the bane of the emergence of new gaming ecosystems. These marketplaces enable players to create virtual assets and engage in commerce. So much so that many players make a full-time living from such activities.

Related content

AI technologies primarily regulate these activities. Especially for marketplace administration, trade regulation, peer-to-peer marketplace management, and so on.

These activities spur these new marketplaces. Gaming systems grow with the emergence of new technologies. Artificial Intelligence increases the efficiency, player integrations and improves the adoption rates of these gaming ecosystems. These benefits and more have inspired gaming developers to include artificially intelligent components in gaming ecosystems design.

On the flip side, there are AI components that enable bad actors. Using AI bots for competitions is a perfect example of such dangerous practices. These AI bots enable cheats to deny legitimate players within gaming ecosystems fair play, giving the cheater a tremendous advantage. While bot use isn't widespread, the practice is growing faster than ever before and is one problem gaming ecosystems will face from now on.

To counter the rise of such concerns, the use of AI blockchains can help prevent bot use and other practices from becoming widespread. Artificially Intelligent blockchains provide a basis for the mass screening of players and quarantining suspicious cases until human verification occurs.

AI blockchains can take the administration of gaming ecosystems to the next level. With minimal human interactions, most activities get handled by nodes within these blockchains, increasing the fidelity, integrity, and security of such ecosystems.

One AI blockchain, Oraichain, brings all the tools needed to manage gaming ecosystems to the table and more. Oraichain features an on-chain oracle AI component, an AI marketplace, AI model provider request and fulfillment for users, a decentralized autonomous organization (DAO), and more. Oraichain's suite of tools allows game developers to bring AI to their games while enjoying the benefits of blockchain technology simultaneously.

For the sake of an #Oraichain Mainnet with great transparency and the well-being of delegators https://t.co/r0Aoj0oaRG pic.twitter.com/avp7KJX3F1

The provision of on-chain oracle services increases the adoption rate of such gaming ecosystems. It also enables the increased dynamism of blockchain-based services. Thus helping players and gaming ecosystems to achieve the most that they can.

How Games Have Evolved in The Past Decade And More

From the days of the Tekken series and Crash Bandicoot on Sony's PlayStation to the rise of interactive games such as Second Life and IMVU, gaming ecosystems have come a long way from two or three decades ago. Games such as Sonic the Hedgehog, Super Mario, and The Lion King represented everything players could get from big-name developers.

Today, more games have players using internet-enabled technologies to play, interact and have fun within single interfaces. Niche gaming systems such as Kawaii Islands, an Anime gaming metaverse ecosystem, and others have enabled the next-level evolution of gaming ecosystems.

Emerging technologies like Metaverse ecosystems perfectly fulfill the various needs gaming developers face and give them a chance to expand their ideas beyond the original scenarios and thought-out storylines.

Integrating web3 technologies with ecosystems like the Kawaii Islands project enables the development of a new paradigm. One where gaming ecosystems benefit players to the point where it's no longer about the gaming scenarios but about players getting to know themselves.

By taking this approach, gaming ecosystems could become another level of the internet. Bringing people together in ways never thought of before but made possible by integrating business and technology.

It also serves as the vehicle for expanding the role AI plays within such ecosystems. AI models can speed up the process, giving everyone the chance to have the best experience possible. Something that is the goal of any gaming ecosystem.

Read the original here:
How Artificial Intelligence Boosts the Adoption of Gaming Systems - Finance Magnates

Artificial intelligence and claims automation for travel insurers – ITIJ

Page believes that the Covid-19 pandemic has had a far-reaching impact when it comes to customer acceptance of digital claims solutions. In an indirect way, yes, but the real driver of customer acceptance has been the high volume of claims, which we have also historically seen resulting from other causes, such as widespread weather events.

In such a case, insurers like any other consumer business might struggle to answer a high volume of phone calls because of staffing and other issues, and then customers are driven to the digital claim filing option, because it allows them to get their issue handled more quickly.

Surge or no surge, its essential to develop claims management technology in line with client or customer need and to ask the right questions about its value. For instance, said Smith, can a claims dashboard give insurers the bespoke, flexible access they may need to customer data? Can digital tools be controlled by clients if they so wish? Can tools segregate fraud risk efficiently by optimising front-end intelligence? Or, can they help insurers make intelligent underwriting decisions that have a positive impact on claims?

The open-source technology accepts cryptocurrencies and can autonomously issue policies and execute payouts for travel delays to insurance policyholders

Investing to stay on top

The latest figures from Alexsoft, a travel and hospitality technology consulting company, report that almost 61 per cent of customers want to check their claims application status with digital tools. Insurers need to pay heed that a lack of web presence equates with lower customer satisfaction.

Many insurers have set their sights on staying on top of if not ahead of the game. Gartner has forecast that global IT spending in the insurance industry increased by 4.4 per cent in 2019, with a total budget of US$225 billion. The latest figures suggest that the Covid-19 pandemic has only slightly dipped expenditure on tech investments.

In fact, a shift to more digital services can save money in the long term, creating growth opportunities for travel insurers and innovative third-party tech providers. A travel insurer with a varied offering of digital services has a competitive advantage over companies that have not invested for the future. According to a Boston Consulting Group report, the disruptive technology change allows for slashing up to 10 per cent in premium costs and eight per cent in claims expenses.

Customers are welcoming a digital-first service strategy which includes AI (artificial intelligence), geopositioning, application programming interface (API), instant messaging, and apps.

In the aftermath of the pandemic, a greater number of consumers are looking favourably upon companies that provide a strong digital offering. A recent PWC survey suggests that 41 per cent of respondents are likely to ditch their insurance company in favour of a more digitally advanced one.

There's little doubt that front-end automation is helping to accelerate claims journeys and improve customer experiences, or that digital tools are easing access to healthcare. But its also important to celebrate the agile technology that is transforming back-end claims management. Smith said: Charles Taylors new digital claims validation tool Discovery, for instance, is increasing intelligence-led decision making; providing deep dive open source and social media searches that can find impactful information or obscure global fraud to help validate or disprove claims.

Zena Carter, Managing Director of Firemelon, shares how AI can help insurers automate sales, claims and benefits, as well as control fraud and maintain compliance

Firemelon has been offering AI solutions for claims processing for many years, but recently interest in the product has ballooned thanks to the ability to automate question sets, where the customer answer triggers different follow-on questions, is a game changer and enables an automated outcome of pay, decline or referral to an underwriter. This is becoming invaluable for our clients. They have full control of questions they want to ask and the answers theyd expect back to facilitate straight through processing for a section of customers. They have a variety of tools at their disposal for those who choose to ensure regular checks are made for any automated outcomes.

Combating fraud

Whilst the risk of fraud can increase with less human interaction, automation can be used to help combat this and mitigate such risk. Automation allows a much richer set of data to be collected from the customer. This can be used to immediately flag if there is a potential fraud case based upon a set of algorithms defined by the claims handling experts. Rich data provides the opportunity to analyse claiming patterns easier and to work out where potential fraud has taken place and could occur in the future. The key is to adapt quickly to ever changing ways that fraudsters try to game the system.

Parametric insurance solutions

There are some innovative solutions out there and weve had engagement with parties offering plug in solutions that may benefit our Magenta system. Were excited to get this into our roadmap this year if these solutions are embraced by the industry and are cost effective enough to drive some real benefit. Our priorities are very much based on how our clients can use digitalisation to move their business forward, so where they see other enhancements as being more cost effective for them, or adding more value, especially as they recover from the last 2 challenging years, well be swayed by them.

Data security

Compliance with financial regulation, data security and privacy laws has to be at the heart of everything we do at Firemelon and we have invested heavily in this area over the last 4 years. We ensure we have a base layer of recognised security certifications, from Cyber Essentials and PCI certifications to international best practice such as IASME Governance. We are audited by external third parties in these areas and continually review and update processes, policies and our systems.

We are very fortunate to have fantastic relationships with our clients and have continuous open dialogue where we share information for the good of the industry and debate the best way to achieve compliance. Where we cant find a common approach to dealing with regulation (which is always our preference) we ensure different ways of handling it behind the scenes so that our clients are comfortable with their own solution. Regulation is costly for all of us and can be painful at times, but we all work together to make the best of it!

An end to the paper trail?

Once Covid hit, online claim submission spiked, with paper claims dropping drastically. The take-up of online submissions increased significantly, says Brice King, SVP Travel and Accident at Arch Insurance Group. Our paper cheques were down by around 96 per cent post-Covid, with an uptake in the online payments. A greater appreciation of technology [leads] to a better claims experience.

Brice believes that technology is helping his company to communicate better. We use predictive analytics to calculate when we think a customers claim will be complete, based on when they submitted it. We can then let the customer know when they can expect payment. We can also shorten timelines and adjudicate more effectively. We are using AI for fraud detection. Using analysis at pixel level, we can see if documents have been tampered with, such as copied and pasted.

Preparing for the uptick in travel insurance queries and requests in 2022 is firmly in Brices sights. When travel comes back, its going to be booming. We are trying to prepare for this through our technology to improve processes across the board, not just claims, but also on the sales and distribution side, API integrations with partners in order to get data from them faster also to verify data.

All the information in one place

Anything that speeds up paying claims fast and with the least amount of aggro such as simplification of claims filing, easy-to-understand claim status updates, fast decisions on claims, and automatic crediting to bank accounts is going to be popular with customers. And preferably, claims can be filed from anywhere in the world.

Agile methodology should enable frontline claims teams to see a customers entire claims and medical assistance profile on a single platform. This will help them join the dots of the customers information and calculate the most suitable support and solutions.

AI is also transforming travel insurance claims. Use of chatbots via mobile apps can help customers quickly communicate with policyholders to impart information and come to a speedy solution. AI insurance solutions also offer companies a platform to provide personalised quotations for customers, integrate robo-advisors, and assist in fraud detection.

Milan Korcok asks whether technology can continue to drive the travel and health insurance sectors forward to more accurate underwriting and risk rating, and considers the cost of sharing health

Predictive analytics will transform the claims process

According to the Insurance 2030 The Impact of AI on the future of insurance report, the industry will shift from its current state of detect and repair to predict and prevent, and will reshape the insurance industry over the next 10 years.

Experts estimate there will be up to one trillion connected devices by 2025. The huge amount of data created can be sifted through via AI, enabling travel insurers to offer real-time service delivery and claims, which ultimately is what the customer wants.

McKinsey research estimates that by 2030, more than half of current claims activities could be replaced by automation. AI algorithms can create risk profiles and automated customer service apps handle most policyholder interactions through voice and text, following self-learning scripts that interface with the claims. The turnaround time for claims could be within minutes rather than days or weeks.

Global Excels John Spears, VP Marketing and Business Development, says that now more than ever, having the ability to deliver digital-first assistance services, claims processing and claims management is essential to any organisation and their members, especially if some of them are travelling, relocating for work or looking to take a holiday. He continued: Our claims management technology enhances the value provided to our clients by using our intelligent systems to handle the more routine processes so our claims managers can focus on utilising their high-value skillsets and oversight. Short and sweet, we let machines do what theyre good at and humans do what theyre really good at. By combining AI and machine learning with automation and experienced human oversight, our claims management technology drives greater efficiency and effectiveness while eliminating a variety of billing errors, detecting potentially fraudulent activity and ensuring all charges align with benchmarked, reference-based pricing.

Detecting fraud through AI, machine learning and natural language processing

Digitalisation can also be a vanguard in the fight against travel insurance fraud and detection software is on the increase. According to Coalition Against Insurance Fraud, US carriers suffered a loss of $80 billion every year, with up to 10 per cent accounting for claims losses.

Insurance companies can harness mobile or cloud technology to gain access to real-time information in dealing with duplicate or inflated claims, insurance data inconsistencies, overpayments and other fact-checking to assess payouts.

Paris-based Shift Technology provides a solution that differs from traditional claim scoring by using probability analysis. It also provides users with actionable analytics that will red-flag suspicious claims.

The SaaS delivery model can connect up with existing operations. Shift claim that their software is 250 per cent better at fraud detection than the industry standard.

Travel insurance providers rely on huge amounts of unstructured data often in the form of pictures and scanned documents to determine the veracity of a claim.

Arlene Lebrn, Customer Success Team Leader LATAM at Shift Technology, told ITIJ: We have seen how quickly fraudsters are able to evolve during the pandemic. We saw an increase in phantom brokers offering Covid-19 policies. People are taking advantage of the reimbursement coverage.

Lebrn also reports incidents including travel rings operating in the US and Europe, who were inventing bogus claims.

To counteract this, Rob Morton, Head of Corporate Communications at Shift Technology, says: We are using AI and weve been doing that from the very beginning. In addition to machine learning, we are also using natural language processing, document and image analysis.

Shift Technologys Force system uses AI to help travel insurance fraud specialists better detect behaviour that is indicative of fraud. It sifts through documents and also applies analysis of the metadata associated with images. For example, the ability to recognise that a photograph of damaged luggage was taken before the damage was reported to have happened is a red flag that can alert the claims team to investigate further.

Parametric technology needs customer adoption

Automating claims has fundamentally changed the way claims are submitted and also how customers are paid out, and parametric insurance solutions like automatic flight delay payments are a fine example of this.

These solutions are very likely to happen, says James Page. But before it does, these solutions will need to be more widely embraced by the customer. Based on the examples weve seen so far, there hasnt yet been sufficient data to suggest that the benefits we could give parametrically are necessarily of value to the customer at the time of the event.

Currently, the majority of our claims are related to trip cancellation and trip interruption, which arent as easy to address through parametric solutions. These solutions will continue to evolve; we just need to determine where the value to the customer and the insurer come together, to warrant the necessary investment by the insurer.

Lost luggage is the bane of many travellers, and not a good start or end to a holiday or business trip. Smart Luggage has harnessed one of the latest uses of parametric technology to offer real-time technology for airline passengers who cannot locate their checked luggage upon arrival or departure. Its the brainchild of Just Travel Cover, which partnered with CPP Group UK to create the product. Customers upload a picture of their delayed luggage receipt and Smart Luggage starts a check for the missing checked luggage.

French-based travel insurance company Koala, a digital-first insurance company that creates white-label and embedded insurance solutions, has developed a delayed flight product. This parametric insurance coverage has fully digitalised the customer experience. In the event of a delay, the customer is proactively contacted and automatically compensated with a predefined lump sum.

Tracking all journeys in real-time (monitoring over 100,000 flights per day), Koala instantly informs passengers as disruption occurs and issues cash compensation on the spot, whatever the cause of the delay might be, says Ugo Weyl, CEO at Koala. Mostly what we do is build tailor-made insurance products based on what those clients tell us they need, Weyl adds. We then find underwriters for those policies, [which] we sell through the travel players.

Other variations the company has offered include reimbursing customers more and more money as a flight delay drags on. For instance, a 45-minute delay could mean a $45 reimbursement, while a 10-hour delay would qualify the consumer for a $600 payout. Koala is also working on specific insurance products for the unusual circumstances that travellers face in the pandemic era. For example, policies could protect those barred from boarding a flight because they fail a temperature screening.

The advantage of Covid is the survival of the fittest. Also, some travel insurance companies were more open to working with us, suggests Weyl. We were having conversations with them, having workshops with them and brainstorming solutions it made people consider other options.

Fast moving, agile, reactive not always words that have traditionally been associated with the travel insurance sector. Its all changed now though, and what we need is for customers to embrace this change and trust that the industry has invested sufficiently in their processes to allow for a smooth online claims process that will go some way to restoring faith in the value of travel insurance as a product.

Keeping standards high and services safe

Companies making use of these digital solutions must ensure compliance with standards and regulations around the world, which is no simple task. For consumers to have confidence in sharing their data, though, it is essential. Medical records and bank details shared online need to be safe. Spears from Global Excel spoke to this point: Operating within an increasingly digital economy, achieving independently verified ISO and SOC accreditations confirms that back-end systems meet the most rigorous international standards for administration, processing and security. This creates a base line from which we can offer fast, efficient online services, supported by human team members, whose experience serves to close any possible gaps during the assistance experience, as well as adding a touch of warmth.

As ever, while customers appreciate the speed of response from a robot, it cant replace the need for real-life interaction with a human who can empathise with a customers situation and offer support when they need it most. Lost luggage and flight delays can be simple to deal with, but when it comes to a sick child in a remote country with limited or basic medical care, then speaking to an experienced assistance coordinator is invaluable.

Smith concluded: We must remember that technology needs to be balanced by niche human skills, to ensure that claims are managed effectively, interventions are made at the right time and customers individual needs are met. And traditional skill management and knowledge transfer are critical in this respect.

Other automated processes, such as bespoke telephony and multi-currency payment technology, digital document signing and workflow management aids are also integral to effective claims management. But this provision needs to be constantly developed to drive further efficiencies in seamless communication, effective supplier management, global network integration, cost containment, information gathering and more.

ITIJ 253 | February 2022

Fiona Keating is a freelance journalist specialising in the travel and financial sectors.

Read more:
Artificial intelligence and claims automation for travel insurers - ITIJ

Future of Artificial Intelligence research to be expanded thanks to scholarship programme support FE News – FE News

Students who are the future of Artificial Intelligence research will have the chance to study for PhDs at the University of Warwick (@warwickuni) after alumnus and philanthropist Jonathan Feuer made a second substantial philanthropic donation to support up to 12 further Feuer International Scholarships in AI.

Aimed at attracting outstanding students, the fully funded PhD scholarships will support young people with potentially world-changing ideas around AI from across all academic disciplines.

The scholarships are funded by successful Warwick alumnus Jonathan Feuer, Co-Founder and Chairman of AI company Eigen Technologies, and were established to create a group of extremely talented, academically brilliant, world-leading young researchers who will go on to have careers in the field of Artificial Intelligence.

Five scholars have been funded so far, and the next phase of scholarships will see the programme become part of the Universitys internationally recognised Cyber Security research group.

Professor Carsten Maple, Warwicks Pro Vice Chancellor for North America and a Cyber Security expert at WMG, will promote the scholarships to his networks in international universities. He said:

Were seeking out the best talent to work on trustworthy and resilient AI projects that will transform society in all areas, from healthcare to the arts. I cant wait to meet students interested in pursuing this incredible opportunity.

Vice-Chancellor of the University of Warwick Professor Stuart Croft said: Were very excited about the potential of this newly extended scholarship programme and are grateful to Jonathan for his visionary philanthropy. His commitment to bringing excellent doctoral students to Warwick in the interdisciplinary area of Artificial Intelligence is outstanding.

Jonathan, who studied Mathematics, Operational Research, Statistics and Economics at Warwick from 1980-83, is passionate about the opportunities artificial intelligence offers. With the Feuer International Scholarships in AI, he is keen to continue building a prestigious cohort of interdisciplinary researchers with the ability to apply academic excellence and rigour to real-world challenges.

I am keen to encourage the next generation to address and crack the major imponderables of our time. This AI scholarship has no boundaries to prevent cutting edge exploration it is down to the individual to make that determination.

The current Feuer scholars are researching AI in areas as diverse as healthcare, privacy, cloud-based systems, traffic management, and machine learning.

Aparajita Haldar, the first Feuer International Scholar, joined the University in 2018. Following her graduation, she hopes to find work in London at an SME specialising in AI after being inspired by meeting Jonathans team of researchers at Eigen Technologies.

Im looking forward to solving exciting artificial intelligence problems, tackling bias issues in machine learning, and developing software that will have a positive impact on lives, she says.

Im incredibly grateful to Jonathan Feuer for enabling me to pursue my research with relative ease in tumultuous times. This funding can make a huge difference in motivating young researchers to take the plunge and join a PhD programme, especially researchers from countries outside the UK.

To find out more about becoming a Feuer Scholar and make an initial inquiry, visitour website.

Original post:
Future of Artificial Intelligence research to be expanded thanks to scholarship programme support FE News - FE News