Tag Archives: ai

E-scooter sharing company Wind deploys seamless and reliable identity verification solution from iDenfy

 

KAUNAS, Lithuania, 2022-Jan-18 — /REAL TIME PRESS RELEASE/ — Countries worldwide are constantly striving to reduce emissions and make their cities greener. It leads to them prioritizing alternative, sustainable means of transportation. However, not everyone can afford an electric car and going to work or simply travelling in the city on a bus is rarely appealing.

E-scooters are a great solution to this problem. Wind is a great provider of them, offering its customers the ability to travel in the city in a fun and eco-friendly way. It allows people to travel less stressfully and more conveniently, making the cities less crowded at the same time. The company is constantly making an effort to help the environment and has recently partnered with Treedom to contribute to forestation. Wind operates in France, Iceland, Israel, Italy, Korea, Norway, and the United Kingdom.

Wind has decided to implement an identity verification solution to their industry and chose iDenfy, a company offering a powerful modern solution complying with the latest AML, KYC, and GDPR regulations, as their partner. Wind’s customers can now enjoy a seamless sign-up procedure, making the onboarding process easy, safe, and reliable. At the same time, the company can be assured of the user’s eligibility – iDenfy’s solution features AI-based biometric recognition and accepts more than 2000 document types from 200+ countries.

It is crucial for both the clients and Wind that the ID verification process is swift and seamless. People today are always rushing and are used to services being provided quickly. Every second counts. Fortunately, verifying one’s identity with iDenfy is just a few steps away at any given time. All the user has to do to get on board with Wind is upload the image of their driving license or ID card (depending on the market) for age & identity verification and wait a few seconds to get it confirmed. That’s it!

“We are glad to welcome Wind as our partner. Eco-friendly means of transportation are rising in demand, and it is a pleasure to contribute to a company providing the supply. With iDenfy’s ID verification, the customer onboarding process will be seamless and reliable,” said Domantas Ciulde, CEO of iDenfy.

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

Media contact:

iDenfy
K. Barsausko 59g.
+37066673822

press@idenfy.com
https://www.idenfy.com/

Smart Scale Co. Unveils World’s First IoT Smart Scale Container, “Stashaweigh™”, at New West Summit

Oakland, California, USA, 2018-Oct-10 — /REAL RIME PRESS RELEASE/ — Smart Scale Co. announced today its October 11th launch at New West Summit of the world’s first IoT smart scale container for the cannabis industry. The patent pending “Stashaweigh™” is an industry-forward weighing device that utilizes the ease of Bluetooth connectivity via a smartphone app to make tracking and saving your cannabis history seamless.

Stashaweigh™ is the brainchild of inventor and entrepreneur Josh Lee, Founder and CEO of Smart Scale Co., which he created in 2017. Lee, in conjunction with a team of technology engineers, has a vision for smart data-sharing, powered by machine learning and advanced AI, that he hopes will shake up the cannabis market.

Lee recalls, “As a technology inventor I saw a lack of technology being built for the cannabis market that matched what was out in the mainstream marketplace. I chose to build the most technologically advanced stash container, the Stashaweigh™, a patent-pending IoT device that integrates a smart scale, connected smartphone app, and water and smell-proof container to manage your usage history by weight, day, time and strain.”

Stashaweigh™ allows its users to track and manage usage history through their smartphones, and gives accurate weight, date, and time feedback while storing precise dosage history during each session. The company will use machine learning and AI to track and predict user habits from around the country that give dispensaries, growers, scientists, and medical professionals tools to more accurately respond to consumer needs and trends.

“Our goal is not only to give consumers a secure device to store their cannabis, but to help them learn more about their usage habits, while giving them tools to manage their cannabis like never before. We are thrilled to launch our product at New West Summit, the industry-leading cannabis technology conference.”

Stashaweigh™ is the first container in a line of expected smart scale devices that make using, selling, prescribing, and growing cannabis smarter and more effective.

The sleek new scale will debut on October 11th and should be available for purchase by the end of 2018.

Contact-Details:

Josh Lee
josh@smartscale.co
www.stashaweigh.com

Logo:

Smart Scale logo

Top AI Keynote Speaker on How to Manage Big Data Tsunami of Information with Artificial Intelligence

The Deep Learning Workshop for Today’s Strategic Leaders will provide key insights into current and future developments for deep learning, with particular emphasis on what organizations in Stockholm, Brussels, Sao Paulo, Mexico City, Kuala Lumpur, Abu Dhabi, Seoul and Hong Kong can do today to leverage this revolutionary technology and apply it to their most pressing challenges.

New York City, NY, USA — The Internet of Things (IoT) explosion will see 20.8 billion connected devices deployed by 2020. The volumes of data generated will become a tsunami that firms will need to transform into actionable information.

Unfortunately, most firms only look at the easy information they can get from structured data while ignoring their unstructured data, which accounts for 90 percent of content generated globally, making unstructured data a tremendous source of untapped value.

Artificial Intelligence is making it possible and affordable to sift through and find meaning in vast amounts of unstructured data obtained from video, audio, emails, logs, social media posts and IoT devices. All of this data can bring about enormous benefits. Mr. Edgar Perez, course director of The Deep Learning Workshop for Today’s Strategic Leaders, will show organizations how to reap these benefits today.

The Deep Learning Workshop for Today’s Strategic Leaders will bring the latest insights in artificial intelligence and most specifically deep learning to executives, managers, directors, consultants and regulators. Attendees to these 2-day workshops organized by GLDNAcademy.com in Stockholm, Brussels, Sao Paulo, Mexico City, Kuala Lumpur, Abu Dhabi, Seoul and Hong Kong will:

• Get up to speed on how artificial intelligence, machine learning and deep learning will impact global business
• Review key enabling technologies including big data and scalable computing processing
• Understand the role of deep learning in healthcare, manufacturing, transportation, customer service and finance
• Look at the landscape of how artificial intelligence stands today, why it is gravitating towards deep learning and how that fits in to the organization’s future
• Learn to personalize the customer experience with techniques similar to Google searches and Amazon recommendations
• Start applying TensorFlow, the most widely-used deep learning framework, in the organization
• Devise a strategy to move the organization forward that focused on the company’s most pressing points to leverage deep learning
• Embed deep learning in the organization’s existing technology development life-cycle

ABOUT THE DEEP LEARNING WORKSHOP FOR TODAY’S STRATEGIC LEADERS
The Deep Learning Workshop for Today’s Strategic Leaders will provide key insights into current and future developments for deep learning, with particular emphasis on what organizations can do today to leverage this revolutionary technology and apply it to their most pressing challenges.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved speech recognition, visual object recognition, object detection and many other domains such as financial trading, transportation, drug discovery and genomics. Deep learning effective and efficiently discovers intricate structure in large data sets by using algorithms to indicate how a machine should change its internal weights and biases that are used to compute the representation in each layer from the representation in the contiguous layer, which have brought about breakthroughs in processing images, video, speech, audio and financial data.

Top executives of organizations around the world have heard a lot about artificial intelligence (AI). Within AI, there is machine learning, a technology that enables computers to get better at tasks with more practice. Furthermore, within machine learning, there is deep learning, which involves algorithms by which computers train themselves using multi-layered neural networks (inspired by the human brain) and vast quantities of data.

This program focuses on practical applications of artificial intelligence for business using TensorFlow, the most widely-used deep learning framework from Google. Deep learning is already impacting every part of business today; in fact, PwC has warned that automation could replace 38% of all American jobs by 2030. Deep learning will continue to be a rich source of insights from ever-growing data sets being evaluated by powerful algorithms, enabling companies to make better decisions.

GLDNAcademy.com’s The Deep Learning Workshop for Today’s Strategic Leaders will show attendees how to harness the opportunities deep learning offers, how to identify challenges and how to prepare their organization for what the future holds. From financial trading to autonomous vehicles and from robotics to automated cancer diagnoses, practical applications for deep learning are already here and will impact businesses for years to come.

ABOUT GLDNACADEMY.COM
GLDNAcademy.com invites CEOs, board members, managers, leaders and professionals to expand their horizons:

• To engage with an experienced faculty that exhibits the deepest knowledge across the most practical and challenging matters that really matter for businesses today
• To meet fellow leaders, entrepreneurs, executives, managers, investors and regulators looking for the industry insights that will move the needle in their organizations
• To become part of the most engaging professional network of leaders in the world

GLDNAcademy.com offers seminars in dozens of industries and functional areas. Each and all of these programs incorporate the following:

• Relevant programs offered in the top business capitals of the world
• World-class faculty with access to the top echelons of the world’s most innovative organizations
• State-of-the-art workshops that incorporate hundreds of hours delivering the best
• Pre-program questionnaires that provide key information that permeates our offerings
• Thousands of satisfied attendees from all over the world

Media Contact:
Melania Pulitzer
Managing Director
GLDNAcademy.com
+1-414-FORUMS0
mjp@gldnacademy.com
http://www.gldnacademy.com

Deep Learning Consultant in Mission to Bring Artificial Intelligence Expertise to Millions of Firms

Edgar Perez, author of The AI Breakthrough, How Artificial Intelligence is Advancing Deep Learning and Revolutionizing Your World, and former strategy consultant with McKinsey, partnering with Terrapinn Training in 3-Day Masterclass in Deep Learning in London, Dubai, New York and Singapore.

New York City, NY, USA — According to Jeff Dean, Senior Fellow at Google, no more than a few thousand companies today have the right talent for building Artificial Intelligence, but many more have the necessary data. For Edgar Perez, author of The AI Breakthrough, Knightmare on Wall Street and The Speed Traders, the urgent goal today is to take A.I. from thousands of organizations solving deep learning problems to millions, as soon as possible.

The impact of Artificial Intelligence cannot be underestimated. Millions of jobs will be radically transformed across hundreds of thousands companies around the world. Tasks that still require a heavy human component will be automated, leaving former employees with few options: upgrade your skills or go unemployed. For those who decide to acquire new skills, the sudden increase in productivity will bring a new wave of opportunities that will create jobs we can’t even imagine as of today.

Today firms can deploy Deep Learning frameworks like Caffe, Theano or TensorFlow and not require an army of PhD-educated employees to undertake these efforts. These different frameworks are doing essentially the same thing: allowing firms to write less code to accomplish meaningful tasks. Some of these frameworks are more general than others, but as long as employees can specify the architecture in a framework of their choice, they will be able to get a working model.

“In addition to the required expertise in Artificial Intelligence, companies will need to consolidate data currently available as well as conceive innovative ways to start collecting new data. The strength of their models will be supported by the availability of data representative of the real world,” says Perez. He is a well-known international futurist, Artificial Intelligence and Deep Learning keynote speaker who currently offers the world’s first Deep Learning workshop for Fortune 500 firms and private equity groups.

RECENT TESTIMONIALS
• “Thanks for the great work training our employees. You really made a difference!” Global Chief Information Security Officer
• “After working with a number of vendors, we found your team to be in a qualitatively different level. By that I speak to your deep expertise and exemplary professionalism.” Divisional Chief Information Officer
• “The team that Edgar has assembled is top-notch. There are no words to express our satisfaction with your high-quality delivery.” Member of the Board of Directors
• “The program provides a comprehensive approach for any organization to lead in technology readiness.” IT Coordinator

ABOUT THE AI BREAKTHROUGH
Artificial intelligence has been referred as the general ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term has indeed been frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, generalize, discover meaning, or learn from past experiences. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge.

In 1945, British logician and computer pioneer Alan Turing predicted that computers would one day play very good chess. Just over 50 years later, in 1997, Deep Blue, a chess computer built by IBM beat the reigning world champion, Garry Kasparov, in a six-game match. Since then, a number of programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence is now found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

Indeed, deep learning has enabled many practical applications of machine learning and by extension the overall field of artificial intelligence. Deep learning breaks down tasks in ways that makes all kinds of machine aids seem possible, even likely. Driverless cars, better image recognition, even better movie recommendations, are all here today. Artificial intelligence is the present and the future.

The AI Breakthrough, How Artificial Intelligence is Advancing Deep Learning and Revolutionizing Your World, will provide a comprehensive review of the artificial intelligence breakthroughs of today and tomorrow and how these advancements will impact businesses and the human race in general for years to come.

ABOUT EDGAR PEREZ
Mr. Edgar Perez is a published author, keynote speaker, business consultant for billion-dollar private equity and hedge funds and Council Member at the Gerson Lehrman Group, Guidepoint Global Advisors, Research International and Internal Consulting Group, with subject matter expertise in artificial intelligence and deep learning, cyber security and financial regulation (Dodd-Frank Act).

He is author of The AI Breakthrough, How Artificial Intelligence is Advancing Deep Learning and Revolutionizing Your World (2018), Knightmare on Wall Street, The Rise and Fall of Knight Capital and the Biggest Risk for Financial Markets (2013), and The Speed Traders, An Insider’s Look at the New High-Frequency Trading Phenomenon That is Transforming the Investing World, published in English by McGraw-Hill Inc. (2011), Published in Mandarin by China Financial Publishing House (2012), and Investasi Super Kilat, published in Bahasa Indonesia by Kompas Gramedia (2012).

Mr. Perez has been interviewed on CNN’s Quest Means Business, CNBC’s Squawk on the Street, Worldwide Exchange, Cash Flow and Squawk Box, FOX BUSINESS’s Countdown to the Closing Bell and After the Bell, Bloomberg TV’s Market Makers, CNN en Español’s Dinero, Petersburg – Channel 5, Sina Finance, BNN’s Business Day, CCTV China, Bankier.pl, TheStreet.com, Leaderonomics, GPW Media, Channel NewsAsia’s Business Tonight and Cents & Sensibilities. In addition, Mr. Perez has been featured on Sohu, News.Sina.com, Yicai, eastmoney, Caijing, ETF88.com, 360doc, AH Radio, CNFOL.com, CITICS Futures, Tongxin Securities, ZhiCheng.com, CBNweek.com, Caixin, Futures Daily, Xinhua, CBN Newswire, Chinese Financial News, ifeng.com, International Finance News, Finance.QQ.com, hexun.com, Finance.Sina.com, The Korea Times, The Korea Herald, The Star, The Malaysian Insider, BMF 89.9, iMoney Hong Kong, CNBC, Bloomberg Hedge Fund Brief, The Wall Street Journal, The New York Times, Dallas Morning News, Valor Econômico, FIXGlobal Trading, TODAY Online, Oriental Daily News and Business Times.

Mr. Perez has presented to the Council on Foreign Relations, Vadym Hetman Kyiv National Economic University (Kiev), Quant Investment & HFT Summit APAC (Shanghai), U.S. Securities and Exchange Commission (Washington DC), CFA Singapore, Hong Kong Securities Institute, Courant Institute of Mathematical Sciences at New York University, University of International Business and Economics (Beijing), Hult International Business School (Shanghai) and Pace University (New York), among other public and private institutions. In addition, Mr. Perez has spoken at a number of global conferences, including Cyber Security World Conference (New York), Inside Market Data (Chicago), Emerging Markets Investments Summit (Warsaw), CME Group’s Global Financial Leadership Conference (Naples Beach, FL), Harvard Business School’s Venture Capital & Private Equity Conference (Boston), High-Frequency Trading Leaders Forum (New York, Chicago), MIT Sloan Investment Management Conference (Cambridge), Institutional Investor’s Global Growth Markets Forum (London), Technical Analysis Society (Singapore), TradeTech Asia (Singapore), FIXGlobal Face2Face (Seoul) and Private Equity Convention Russia, CIS & Eurasia (London).

Mr. Perez has addressed thousands of top executives around the world through keynote speeches and corporate training programs on artificial intelligence, deep learning, cybersecurity and financial trading. He has presented in Beijing, Chicago, Hong Kong, Kiev, Kuala Lumpur, Lima, London, Miami, Naples, New York, Santiago, Sao Paulo, Seoul, Shanghai, Singapore, Stockholm, Taipei and Warsaw, among other global capitals. He contributes to The New York Times and China’s International Finance News and Sina Finance.

Mr. Perez was a vice president at Citigroup, a senior consultant at IBM, and a strategy consultant at McKinsey & Co. in New York City. Previously, he managed Operations and Technology for Peruval Finance. Mr. Perez has an undergraduate degree in Systems Engineering from Universidad Nacional de Ingeniería, Lima, Peru (1994), a Master of Administration from Universidad ESAN, Lima, Peru (1997) and a Master of Business Administration from Columbia Business School, New York, with a dual major in Finance and Management (2002). He belongs to the Beta Gamma Sigma honor society. Mr. Perez is an accomplished salsa and hustle dancer and resides in the New York City area.

Media Contact:
Julia Petrova
Media Relations Coordinator
The Speed Traders
+1-414-FORUMS0
jpetrova@thespeedtraders.com
http://www.mredgarperez.com