Z Holdings Corp., operator of Yahoo Japan online services, and messaging app provider Line Corp. merged on Monday to expand their online services globally as they aim to better compete with U.S. and Chinese tech giants. With a combined user base of about 150 million in Japan, the merger of Z Holdings, a SoftBank Group Corp. subsidiary, and Line will make it one of the biggest information technology companies in the country. "We would like to launch a global smartphone app" in the future to expand online services worldwide with the help of global tech firms in which SoftBank Group's nearly $100 billion Vision Fund has invested, said Takeshi Idezawa, Z Holdings co-CEO and former Line president, at a news conference. Kentaro Kawabe, the other Z Holdings co-CEO said, "We can offer a wider range of services, such as search engine, e-commerce and online financial operations, than those provided by GAFA -- Google LLC, Apple Inc., Facebook Inc. and Amazon.com The surviving entity is Z Holdings, under which Yahoo Japan and Line operate their respective businesses.

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan--even who has priority for COVID-19 vaccines. Rather than remove bias, one algorithm after another has codified and perpetuated it, as companies have simultaneously continued to more or less shield their algorithms from public scrutiny. The big question ever since: How do we solve this problem? Lawmakers and researchers have advocated for algorithmic audits, which would dissect and stress-test algorithms to see how they work and whether they're performing their stated goals or producing biased outcomes. And there is a growing field of private auditing firms that purport to do just that.

The typical ingredient-tetris bottleneck played between guest and server while dining out has amplified during COVID-19. Growth in online ordering and takeout has prompted customers with dietary needs to search online for dietary answers more than ever before.1 With over 52% of Americans following at least one diet, and less than 10% of restaurants labeling dietary information (typically not exhaustive), the information gap has never been wider. Prompted by an Ulcerative Colitis health scare for co-founder Tamir Barzilai, Honeycomb.ai is set on eliminating the frustrating process of manual menu parsing by creating a portal for anyone with dietary needs to find suitable food to eat. "After my personal diagnosis, I realized how many others struggle with finding food to eat due to a variety of reasons. The lack of ubiquitous dietary and ingredient transparency didn't make sense from both consumer and business perspectives," says Barzilai.

WIRE)--Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, is estimated to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. By 2024, the market is expected to break the $500 billion mark with a five-year compound annual growth rate (CAGR) of 17.5% and total revenues reaching an impressive $554.3 billion. Among the three technology categories, software represented 88% of the total AI market revenues in 2020. However, it is the slowest growing category with a five-year CAGR of 17.3%. Within the AI software category, AI Applications took the largest share of revenue at 50% in 2020.

Data can be used in a variety of ways to satisfy the needs of different business units, such as marketing, sales, or product. In this post, we focus on using data to create personalized recommendations to improve end-user engagement. Most ecommerce applications consume a huge amount of customer data that can be used to provide personalized recommendations; however, that data may not be cleaned or in the right format to provide those valuable insights. The goal of this post is to demonstrate how to use AWS Glue to extract, transform, and load your JSON data into a cleaned CSV format. We then show you how to run a recommendation engine powered by Amazon Personalize on your user interaction data to provide a tailored experience for your customers.

U.K.-based Featurespace, which offers anti-fraud systems for financial institutions (FIs), on Thursday (Feb. In a press release, the company said the new product, intended for the card and payments industry, provides a "deeper layer of defense to protect consumers from scams, account takeover, card and payments fraud, which cost an estimated $42 billion in 2020." The new product is "truly the next generation of machine learning," said Dave Excell, founder of Featurespace. The company said that it involves "a breakthrough in deep learning technology" that is capable of pinpointing potential fraud before the victim's money is removed from their account. That serves as "the best line of defense against scams, account takeover, card and payment fraud attacks," the release stated.

Click here to learn more about Gilad David Maayan. What Is Artificial Intelligence Marketing? In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. Marketers use insights gained from AI to guide future decisions on event spending, strategy, and content topics. AI also makes it possible to measure and optimize marketing activities without human intervention.

Toyota Motor Corporation started construction this week on a 175-acre smart city at the base of Japan's Mount Fuji, about 62 miles from Tokyo, the company announced Tuesday. The city, which Toyota has dubbed the "Woven City," is expected to function as a testing ground for technologies like robotics, smart homes, and artificial intelligence. A starting population of about 360 inventors, senior citizens, and families with young children will test and develop these technologies. These residents, who are expected to move into the Woven City within five years, will live in smart homes with in-home robotics systems to assist with daily living and sensor-based artificial intelligence to monitor health and take care of other basic needs, according to the company. The eventual plan is for the city to house a population of more than 2,000 Toyota employees and their families, retired couples, retailers, and scientists.

With the dynamically increasing surge in the popularity of Data Science and Machine Learning, more aspirants and enthusiasts are dwelling on exploring these fields. There are a tremendous amount of opportunities that are created from Data Science and Machine Learning. Everyone is eager to learn about these fields and ultimately add some additional knowledge to their arsenal. For beginners and experts, there are some awesome free websites to learn and gain further exposure. For beginners trying to understand any subject and get a feel about what exactly the entities of Data Science and machine learning are and gain further intricate knowledge, it is always better to start off with some free resources and materials.

Quantiphi, an applied AI and data science software and services company, today announced that it has been named an IDC Innovator in the IDC Innovators: Artificial Intelligence Services, 2020 ( Doc # US45733220, December 2020) report. Quantiphi is one of just four companies featured in the report, which covers a selection of vendors that offer an innovative new technology or a groundbreaking business model, or both in artificial intelligence (AI) services. "AI has quickly evolved from a'nice-to-have technology' to a business imperative, driving enterprise demand for expertise from solution design through production at scale," said Jennifer Hamel, Research Manager for IDC's Worldwide Services team. "Quantiphi approaches the AI services market in distinct ways, partnering with its clients to apply complex AI techniques to solve real business problems." The report acknowledges Quantiphi's broad portfolio of repeatable IP and accelerators, and strong partnerships with major AI technology providers (e.g., Google, AWS, and NVIDIA) to assemble and scale AI solutions for clients in a variety of industries, leveraging a talent pool of industry analysts, cloud/data engineers, and ML engineers.