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From April 25 to 26 local time, the AI & Big Data Expo Global 2019 was held in OlympiaLondon. This is a two-day expo showcasing the next generation of technologies and strategies in AI and big data, attracting more than 4,000 relevant practitioners. Dr. Wei Cui, co-founder and chief scientist of Squirrel AI Learning, was invited to give a speech at the Expo and he also shared his insights into AI with senior executives from Darktrace, a UK cyber security company; SAP, the world’s third largest independent software providerReddit, one of the largest social platforms in the United States; and Just-Eat, a Danish company equivalent to “Meituan”.

The themes of this expo include: enterprise AI, AI and Internet of Things data analysis, big data business solutions and AI technology solutions.

Dr. Wei Cui from Squirrel AI Learning: How Does AI Provide Economical and Individualized Education for Every Family in China

Dr Wei Cui, chief scientist of Squirrel AI Learning, introduced the AI adaptive learning system independently developed by Squirrel AI Learning. This system can continuously monitor and evaluate students’ individual abilities, find their weaknesses in learning and allow students to progress at their own pace so as to improve their learning. The system provides optimized learning solutions and simultaneous counseling to maximize learning efficiency and improve students’ ability to acquire knowledge and skills.

For years, the lack of senior teachers and geographical problems have adversely affected the popularization of quality education in China. Squirrel AI hopes to train “super teachers” through AI and provide one-on-one tailored education for students.

In his speech, Dr. Wei Cui introduced the basic technologies used to build the system and carry out performance evaluation experiments. Squirrel AI Learning’s adaptive educational engine includes three layers of architecture: ontology layer, algorithm layer and interactive system. Content-focused, the ontology layer incorporates learning maps and knowledge maps. Squirrel AI Learning independently developed the technology to disassemble knowledge points at a super-nano level, making for more accurate determination of the knowledge points students are supposed to master. Take mathematics of junior high school as an example. Squirrel AI Learning can disassemble the 300 knowledge points into 30,000.

The algorithm layer includes content recommendation engine, students’ user portrait engine and target management engine. Based on user status evaluation engine and knowledge recommendation engine, Squirrel AI Learning will build a data model to detect the gaps of knowledge for each student accurately and efficiently and then recommend corresponding learning content according to these gaps.

The interactive system collects interactive data to learn more about students and improve the algorithm. Squirrel AI Learning cooperated with Stanford Research Institute to study the machine-student interactive system. Its self-developed MIBA student behavior data acquisition system won big award at the World Conference on AI.

In addition, the MCM system developed by Squirrel AI Learning can disassemble students’ model of thinking, capabilities and methods of learning and then provide training of these abilities and methods in a single subject according to students’ learning status.

By the beginning of this year, Squirrel AI Learning has set up nearly 2,000 learning centers in more than 300 cities across China with nearly 2 million registered student users. Last year, Squirrel AI donated 1 million free study accounts to underprivileged families to promote education fairness.

Marc Teerlink, SAP’s Global Vice President: How to Realize “Gold Rush” in the Era of AI

Marc Teerlink, SAP’s global vice president, talked about how enterprises adapt to the era of AI. The world is currently on the verge of a “gold rush” with AI. Teerlink’s speech is about how AI and machine learning bring wealth to enterprises as well as experience sharing by current industry leaders.

SAP estimates that by 2030, more than 60% of jobs will face great changes. About 51% of work will be automated but only 5% will be completely done by machine. Therefore, Teerlink prefers to call this era the era of “augmented intelligence” in which technology is used to enhance human’s ability to process information.

Teerlink said that partners using SAP machine learning software have translated algorithms into commercial profits. He cited one example: VALE, a Brazilian-based global mining company, used machine learning to optimize its procurement application process.

The current process is a purely manual one in which scattered information is distributed in multiple files and systems. As a result, 25-40% of the purchase requisitions are rejected every month due to errors, resulting in severe rework.

In the past few years, VALE has started to use SAP Leonardo open innovation framework based on design thinking and technology to define a re-conceived application process that provides an SAP Fiori application accessible from any device to help users complete the end-to-end process without logging into any back-end device systems.

Machine learning for image recognition is the core of this process. Image recognition algorithm is integrated into the application of SAP Leonardo machine learning so that maintenance technicians can recognize the serial number of the materials of any parts that need to be replaced by taking pictures of them. Even without Internet access, technicians can still take pictures of the parts and complete the purchase application process later.

Once the parts are identified, the application will connect to the back-end system and find the correct procurement process for the material, be it contract process or purchase requisition, and then the application will automatically complete the procurement requisition process and check whether the parts have been requested on the previous shift or exist in any nearby deposits.

This procedure streamlines the procurement application process, reduces the delivery cycle of procurement, reduces spare parts inventory, thus reducing working capital and improving labor efficiency.

Enterprises like VALE that have long engaged in AI have already tasted the sweetness. SAP observes that these enterprises generally have the following characteristics: the strategic center of C-level executives, increased competitive differentiation, new income and profitability, and strategies covering the whole field. They all view data as important assets.

Dave Palmer, Technical Director of Darktrace: How Does AI Affect Cybercrime

Darktrace is a British start-up in network security that mainly provides “corporate immune system” that can be deployed in company network to monitor network anomalies. Once suspicious behavior occurs within the network, Darktrace will remind IT managers and, when necessary, automatically trigger protection behavior to mitigate network attacks. Unlike traditional methods that rely on rules or signatures, this automated technology enables security teams to focus on high-value tasks and even to counter fast-moving automated attackers.

Dave Palmer believes that AI will greatly increase the impact of cyber crime on enterprises. Due to the open source environment of computer science and the introduction of various API & SDK by large companies, even people without relevant backgrounds can easily acquire and use AI technology such as face recognition and voice recognition, which greatly lowers the threshold of cyber crime.

Unlike planting a virus or malicious software in the system in the past, network attacks now take many forms and are more and more extensive. For example, stealing your data for blackmail, monitoring important meetings of competing companies, or modifying your data from the bottom to influence the decision-making of your superiors, etc.

Therefore, many companies are deeply engaged in network security protection. For example, Microsoft launched its cloud-based risk security detection tool in 2017 with which developers find bugs and other security vulnerabilities in software to be released or used. The tool is designed to fix bugs before software vulnerabilities occur.

Anand Mariappan, Senior Director of Reddit: Development History of Reddit Machine Learning

Anand Mariappan, senior director of Reddit in charge of search and machine learning engineering, reviewed the history, current projects and future direction of Reddit’s machine learning that covers data platforms, feed rankings, recommendations, user and channel similarities.

Reddit, the US version of “Tianya” and “Baidu Tieba”. According to the data released by Alexa, Reddit is the fifth largest website in the United States, ranking 14th in the world and even surpassing Facebook in traffic. Reddit currently has 330 million active users, nearly 140,000 active communities, 12 million posts and nearly 100 million comments per month. In February this year, Tencent invested $150 million into Reddit. Reddit is currently valued at $3 billion.

Reddit has been building and improving data pipelines over the past few years. Since 2014, it has been using Amazon S3 and Hive to gradually build a multilevel database architecture based on MIDAS, and now the architecture is based on Google’s BigQuery.

Reddit has 140,000 sub-Reddit, which can also be understood as channels. Recommending relevant channels to users is an important way to increase user participation, which was done through manual selection. Now deep learning takes the place of manual selection. Through deep learning, Reddie can directly gather all comments in a channel into a file and then use the end-to-end doc2vec model to train and get semantic information to assist in the matching.

Reddit also optimized the recommendation on the home page. It uses large-scale logistic regression algorithm to make personalized content recommendation based on parameters such as time, channel, user interest, and device.

Mariappan said Reddit is currently developing machine learning programs to optimize personalized models, and has achieved amazing results in the early development phase by using models on TensorFlow to improve the quality of content recommendation.

Ben DiasHead of Royal Mail: From Zero to Data Science

Ben Dias, head of analysis and data science at Royal Mail, shared his experience of “from zero to data science” and summarized seven key points, hoping to help enterprises accelerate their progress in developing data science by providing practical skills, tools and technologies.

First, be prepared. Enterprises should first understand themselves and be fully prepared in areas of data processing, standard business intelligence analysis, underlying architecture and technology stack.

Second, lay more emphasis on retention of talents than recruitment. Don’t rush to look for talents outside the enterprise. Instead, enterprises should train and retain talents and nurture suitable office culture.

Third, don’t hire “super chicken”. Super chicken refers to highly talented and motivated employees. Margaret Heffernan, an expert in business management consulting, pointed out in a TedTalk that a team of geniuses will not be more efficient, but rather has disastrous performance. Successful teams do not need superstars but collaborative staff working based on consensus.

Fourth: Don’t put all eggs in one basket. Enterprises should comprehensively consider short-term benefits, medium-term considerations and long-term planning.

Fifth, adopt the model of Lean StartupLean Startup is a method of developing business and products, aiming to shorten product development cycle and quickly find out whether the proposed business model is feasible. This model is achieved through a combination of business hypothesis-driven experiments, iterative product release and proven learning.

Sixth & Seventh: You must change everyone and everything & apply scientific methods to everything.

Gilles Comau, Head of Just Eat AI: Challenges and Opportunities of Building Personalized Strategies.

Gilles Comau is Just Eat’s director of machine learning and AI. Just Eat, founded in 2001, is a take-out ordering website in Denmark. It provides applications to enable consumers to easily place orders and make payment. Now it has operations in many countries around the world. In 2014, Just Eat was successfully listed on the London Stock Exchange with a market value of $2.4 billion.

Comau’s speech is centered on the challenges and opportunities of building personalized strategies. Delivery services involves millions of similar but greatly different products. Delivery areas also have geographical limitations, which needs to be optimized through algorithms.

Just Eat’s big data analysis helps predict what kind of food users will order at a particular time. For example, big data generated by Just Eat enables analysts to predict which regions are most likely to order healthy food and which regions prefer food collection to delivery.

Results of big data analysis of users’ eating patterns and trends will be provided to restaurants to help them meet various needs and increase menu items. This can help them grow their business.

Just Eat has more than 60 million accounts and at least 7.5 million people have multiple accounts. Therefore, Just Eat needs to use data science to delete repeated accounts and link users with similar attributes.

The match between restaurants and users helps users find delicious food more conveniently. The restaurant’s attributes are mainly based on the food it mainly recommends, including the flavor, attributes, taste, and ingredients of food. User profile is determined by ordering habits, preferences, social attributes, trading habits, contact information, etc.

These attributes will help Just Eat build a two-dimensional and visual vector search space. When searching delicious food through key words, users can get what they want just by judging which vector their key words are the closest to.

Machine learning is also used to deliver orders to customers fast through prediction of driver paths and improvement of communication efficiency so as to deliver food fast, maintain correct delivery order and prevent lost delivery orders.

SOURCE Squirrel AI Learning

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World 50 Group Announces Winners for the 2024 I&D Impact Awards, Recognizing Workplace Excellence in Diversity, Equity, and Inclusion

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ATLANTA, March 28, 2024 /PRNewswire/ — World 50 Group, the global community of business leaders from the most respected and influential companies, is delighted to announce the winners of the 2024 Inclusion & Diversity (I&D) Impact Awards. Now in its second year, the I&D Impact Awards spotlight the remarkable strides organizations have taken to create more equitable workplaces and communities around the world.

The winners were unveiled last night at the I&D Impact Awards ceremony in Miami, where hundreds of global executives from leading organizations gathered to celebrate outstanding achievements, advancements, and progress in DEI. Partners of the I&D Impact Awards, including Amazon, Best Buy, Cognizant, Joshin, RHR International, and SLB—all esteemed World 50 member companies and DEI champions—joined in the festivities.

“The 2024 I&D Impact Awards once again underscore the steadfast commitment of today’s leading companies to building a brighter future for us all,” said Jennifer Bird Newton, World 50’s chief impact officer. “We are in a pivotal moment for DEI. The significance of coming together to acknowledge our achievements—without resting on our laurels—cannot be overstated. Last night’s festivities served as a powerful reminder of the impact of collective action, and we extend heartfelt congratulations to this year’s winners.”

Chosen from a competitive pool of more than 140 entries from 74 unique organizations, the 2024 I&D Impact Awards winners represent leaders from diverse industries, spanning nine categories:

  • I&D Ally Award: Ferrero
  • Transparency Award, in partnership with Best Buy: Rio Tinto
  • Innovation Award, in partnership with Amazon: Victoria’s Secret & Co.
  • Gender Equality Award: Kimberly-Clark
  • I&D Team of the Year, in partnership with Cognizant: Inizio Evoke
    • Highly commended: Humana
  • I&D Leader of the Year, in partnership with RHR International: Lydia Smith, Chief Diversity Officer, Victoria’s Secret & Co.
    • Highly commended: Sherri Neal, Chief Diversity Officer, HCA Healthcare
  • Community Impact Award: Amazon
  • Inclusion Award, in partnership with Joshin: EY
    • Highly commended: Union Pacific
  • I&D Impact Award, in partnership with SLB: Cummins
    • Highly commended: Cargill

The winners were meticulously chosen by a panel of esteemed, independent judges comprising 24 top DEI executives from leading organizations, including AstraZeneca, Discover, Cognizant, Hilton, Lenovo, Mars, MetLife, and Warner Bros. Discovery, among others.

“Witnessing the passion, creativity, and impact of these winning initiatives reignites my belief in the power of inclusion to reshape our future,” said Crystal Andrew Banks, global head of diversity, equity, inclusion, and belonging at The Kraft Heinz Company. “Bravo to all companies that submitted a nomination, and let’s keep pushing boundaries together.”

Earl Newsome, chief information officer at Cummins, added: “Each submission showcased the beauty of creating diverse, equitable, and inclusive workplaces. Every entrant should take pride in the impact they are making.”

The I&D Impact Awards serve as a cornerstone of the World 50 I&D Impact Community, one of the largest groups of global DEI leaders in the world. Members convene regularly to exchange best practices and amplify what works when advancing DEI initiatives across the organization. Participation is complimentary for heads of DEI at World 50 member companies.

Learn more about the World 50 I&D Impact Awards—and how to get involved in 2025—here.

About World 50 Group
Leaders of the world’s most respected companies join World 50 to learn from one another. More than 4,800 global CEOs, board directors, and senior executives across every function—from 40 countries across six continents—trust the World 50 community for insights that deliver impact at scale.

World 50 is the safe space to exchange ideas, navigate complex challenges, and evolve as a leader. Members are at the forefront of transformation, leading organizations with a total market cap exceeding $34 trillion and more than 37 million employees worldwide.

To learn more about membership and request an invitation, visit world50.com.

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ICIS and Base Oil News Announce Partnership to Enhance Market Insights

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LONDON, March 28, 2024 /PRNewswire/ — ICIS, a global source of commodity intelligence, is pleased to announce a strategic partnership with Base Oil News, a premier news outlet founded by industry expert Iain Pocock that provides in-depth coverage of the base oils and lubricants market. This collaboration marks a significant milestone in the dissemination and exchange of critical market data and insights.

With more than two decades of journalism experience at Bloomberg, Reuters, and Argus Media, Iain Pocock brings unparalleled expertise to this partnership. His deep understanding of illiquid energy markets makes him a credible and influential figure in the industry. Since November 2023, Iain has been working closely with ICIS to share and exchange valuable data and insights, enhancing the services both platforms offer to the base oils and lubricants market.

Through the collaboration, Iain integrates ICIS’ extensive content and data resources in Base Oil News market coverage. In return, he contributes market insights to ICIS News, including expert and exclusive analysis of supply and demand dynamics, price margins, and other critical market drivers. This exchange ensures that subscribers of both ICIS and Base Oil News have access to the most comprehensive, timely, and accurate market information, empowering them to make informed decisions.

“It’s a very exciting partnership – where we leverage each other’s strengths and provide actionable insights to our customers,” said Iain Pocock, Founder of Base Oil News. “The market is the winner.”

“As ICIS is already the world’s most trusted pricing benchmark for base oils, this collaboration with Iain Pocock and Base Oil News provides an even stronger and deeper service to our customers,” said Stephen Burns, Editorial Director at ICIS. “Iain’s expertise and extensive industry connections are invaluable, and we have established a fruitful partnership that benefits the market at large.”

For the latest insights from Iain Pocock on ICIS News, visit ICIS News.  

About ICIS

ICIS – Independent Commodity Intelligence Services – helps businesses through seamlessly delivering data and analytics, across the chemical, fertilizer and energy markets. A trusted source and benchmark for price information and insight across key commodities markets worldwide. Our independent, transparent market intelligence informs thousands of quality decisions every day, taking the pressure out of negotiations and giving customers space for more innovative thinking, through published datasets including price assessments, price forecasts, supply and demand fundamentals and more.

Over 150 years of shaping the world by connecting markets to optimise the world’s valuable resources. With a global team of more than 600 experts, ICIS has employees based in London, New York, Houston, Karlsruhe, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.

ICIS is part of RELX, a FTSE15 company with a market cap of £64bn and an employee base of over 30,000 experts across 40 countries.

About RELX

RELX is a global provider of information and analytics for professional and business customers across industries. The Group serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. RELX PLC is a London listed holding company which owns 52.9% of RELX Group. RELX NV is an Amsterdam listed holding company which owns 47.1% of RELX Group. The shares are traded on the London, Amsterdam and New York Stock Exchanges using the following ticker symbols: London: REL; Amsterdam: REN; New York: RELX and RENX. Total market capitalisation is approximately £64bn | €75bn | $81bn.

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Bybit Web3 Announces “Mantle Sharding With Ethena” Campaign

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DUBAI, UAE, March 28, 2024 /PRNewswire/ — Bybit, one of the world’s top three crypto exchanges by volume, is thrilled to announce a campaign in collaboration with Mantle Network: Mantle Sharding With Ethena. This exciting event offers $MNT holders the opportunity to earn a share of a massive 2.5 billion Ethena Shards.

Lock In $MNT and Earn mShards

The official lock-in period for the Mantle Sharding With Ethena campaign runs from March 27, 2024, 10:00 AM UTC to April 26, 2024, 10:00 AM UTC. During this time, Bybit Web3 users can lock in their $MNT tokens to earn coveted mShards. These mShards, fully backed by the Mantle Treasury, can be later redeemed for Ethena’s native token, $ENA.

Maximize Your Rewards and Trade mShards Across DeFi dApps

For maximum reward potential, users are encouraged to keep their $MNT locked throughout the entire campaign period. Rewards are dynamically calculated and updated in real-time based on the total amount of $MNT locked per second by all participants.

Bybit Web3 is proud to be the first ecosystem to enable the trading of Ethena Shards in the form of mShards across various DeFi dApps. This integration marks a significant milestone for Mantle Ecosystem, paving the way for further exciting developments.

Don’t miss this opportunity to earn substantial rewards and contribute to the growth of the Mantle and Ethena ecosystems. For full details and participation instructions, please visit:

https://announcements.bybit.com/en/article/limited-time-offer-lock-in-mnt-and-grab-your-share-of-2-500-000-000-ethena-shards–blt66c8da8bd86d0910/

#Bybit / #TheCryptoArk / #BybitWeb3

About Bybit Web3

Bybit Web3 is redefining openness in the decentralized world, creating a simpler, open, and equal ecosystem for everyone. We are committed to welcoming builders, creators, and partners in the blockchain space, extending an invitation to both crypto enthusiasts and the curious, with a community of over 1 million wallet users, over 10 major ecosystem partners, and counting. 

Bybit Web3 provides a comprehensive suite of Web3 products designed to make accessing, swapping, collecting and growing Web3 assets as open and simple as possible. Our wallets, marketplaces and platforms are all backed by the security and expertise that define Bybit as a top 3 global crypto exchange, trusted by 25 million users globally.

Join the revolution now and open the door to your Web3 future with Bybit.

For more details about Bybit, please visit Bybit Web3.

About Bybit

Bybit is one of the world’s top three crypto exchanges by trading volume with 25 million users. Established in 2018, it offers a professional platform where crypto investors and traders can find an ultra-fast matching engine, 24/7 customer service, and multilingual community support. Bybit is a proud partner of Formula One’s reigning Constructors’ and Drivers’ champions: the Oracle Red Bull Racing team.

For more details about Bybit, please visit Bybit Press.

For media inquiries, please contact: [email protected]

For more information, please visit: https://www.bybit.com

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