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5 reasons why Microsoft is even entertaining a Tik Tok purchase

ZDNet

Microsoft's talks to acquire Tik Tok don't make a whole lot of sense on the surface. In fact, nothing about this deal makes sense given you have a tech giant that is known for the enterprise, President Trump tweeting about Tik Tok, legislators chiming in and a 45-day deal deadline. Sure, I've read a few Wall Street analysts do some mental gymnastics to argue for the Microsoft purchase of Tik Tok. Depending on price ($10 billion too good to pass up and $50 billion crazy), Microsoft CEO Satya Nadella is going to have some explaining to do. With all that said, here is a bit of informed speculation about why this Microsoft-Tik Tok lunacy is happening. The Department of Defense's JEDI cloud contract is to be announced soon.


Utilizing Visual Artificial Intelligence for Ecommerce

#artificialintelligence

As evidenced by the COVID-19 crisis, e-commerce has become an integral part of our everyday lives. This migration to the digital world has caused organizations to ask themselves several questions, mainly, how do we monetize our digital content, and how do we do it effectively? One solution is to bring an artificial intelligence (AI) and machine learning (ML) driven shoppable media experience to the consumer. This type of solution enhances the customer's shopping experience by converting static media content to a dynamic interactive and shoppable media experience that truly engages the customer and reduces buyer resistance and increases electronic cart size, and thus, sales. As we all know, innovative concepts and technology enhancements vastly improve the consumers' shopping experience.


Helping Democratize AI, A Call to Action

#artificialintelligence

Companies across the globe are increasingly adopting Artificial Intelligence (AI). Meanwhile, forecasts for its global market value are skyrocketing. AI has the potential to save businesses substantial costs and can generate new revenue in ways that wouldn't have been possible before. A study by Accenture and Frontier Economics found that in manufacturing alone, AI could lead to a worldwide output boost of 4 trillion US$ over the next 15 years. But there are different hurdles to cross to get a piece of the pie, and not everyone fulfills the necessary requirements to benefit from applications of artificial intelligence.


Helping Democratize AI, A Call to Action

#artificialintelligence

Companies across the globe are increasingly adopting Artificial Intelligence (AI). Meanwhile, forecasts for its global market value are skyrocketing. AI has the potential to save businesses substantial costs and can generate new revenue in ways that wouldn't have been possible before. A study by Accenture and Frontier Economics found that in manufacturing alone, AI could lead to a worldwide output boost of 4 trillion US$ over the next 15 years. But there are different hurdles to cross to get a piece of the pie, and not everyone fulfills the necessary requirements to benefit from applications of artificial intelligence.


Jumping the hurdles to post-pandemic AI automation - Write side up - by Freeform Dynamics

#artificialintelligence

In the post-pandemic, post-Brexit world, businesses of all sorts face a range of new challenges – and many will be wondering if AI-based automation could help them win through. From adding more self-service capabilities for hotel guests through modernising e-commerce fulfilment to replacing missing workers in farming, the opportunities are many, but so are the pitfalls. Given all this, some research that we carried out last year on attitudes to AI – and in particular its subset, machine learning (ML) – is looking even more relevant now than it was then. It gives a picture not just of where AI could add value, but of key routes to get there and of hurdles that must be overcome along the way. As well as asking how our respondents perceived AI and ML, and hearing a lot of weariness with the noise and hype, we asked how well their organisations understood "the AI imperative".


Artificial intelligence gathers pace in Latin America ZDNet

#artificialintelligence

The adoption of artificial intelligence is growing fast in Latin America, with businesses of all sizes deploying the technology to tackle critical issues despite the challenges faced by the regional ecosystem, according to a new report. According to the study by MIT Technology Review produced in partnership with Genesys on trends in AI adoption and the current state and the future of data sharing in Latin America, "there are many opportunities for the region, if it moves quickly." Latin firms are using AI to tackle critical regional issues, including food security, smart cities, natural resources, and unemployment, according to the study, with the level of sophistication of AI projects at almost the same level as other regions. About 80% of large businesses in the region reported having projects underway, with early benefits including increased operational efficiency and management decision-making. This compares with 87% in North America and 95% in Asia-Pacific. The researchers predict that by 2022, AI projects are expected to accelerate, with almost two-thirds of respondents in Latin countries saying they expect 21%-40% of their processes to use AI three years from now, with the areas of fastest growth being logistics and supply chain management, as well as sales and marketing.


5 hurdles to AI value -- and how to overcome them

#artificialintelligence

The vast potential AI holds for businesses worldwide is of little doubt. But flawed strategy, poor approaches to process change, expertise shortfalls and a general lack of technical understanding prevent many enterprises from deriving value from artificial intelligence. Among the 90 percent of companies that have invested in AI fewer than two out of five say they've made any business gains, according to "Winning With AI: Pioneers Combine Strategy, Organizational Behavior and Technology," a survey of 2,500 business executives conducted by MIT Sloan Management Review and Boston Consulting Group (BCG). AI includes associated technologies such as machine learning (ML) and natural language processing (NLP), both of which aim to ape human thought. Get the insights by signing up for our newsletters.


Overcoming Hurdles to Autonomous Cities - News Analysis

#artificialintelligence

The technology to power connected cities exists today--and continued growth is predicted. Will all our cities soon be connected? Or do hurdles stand in the way? Perhaps one of the biggest challenge will be overcoming regulatory hurdles that could slow the progress down. Technavio says the autonomous bus market, as an example, will grow by 2364 units during 2020 and 2024, which is a growth rate of 32%.


Beyond Convexity: Stochastic Quasi-Convex Optimization

Neural Information Processing Systems

This poster has been moved from Monday #86 to Thursday #101. Stochastic convex optimization is a basic and well studied primitive in machine learning. It is well known that convex and Lipschitz functions can be minimized efficiently using Stochastic Gradient Descent (SGD).The Normalized Gradient Descent (NGD) algorithm, is an adaptation of Gradient Descent, which updates according to the direction of the gradients, rather than the gradients themselves. In this paper we analyze a stochastic version of NGD and prove its convergence to a global minimum for a wider class of functions: we require the functions to be quasi-convex and locally-Lipschitz. Quasi-convexity broadens the concept of unimodality to multidimensions and allows for certain types of saddle points, which are a known hurdle for first-order optimization methods such as gradient descent.


The Future of Voice Assistants - Connected World - Blog

#artificialintelligence

Artificial intelligence has truly transformed the way voice assistants are used in our daily lives, and we are only beginning to understand how they will be integrated into all of our activities in the years to come. Report after report is predicting voice assistants will soar and that means the tools and technologies behind these devices are shaping the internet of skills. We are talking about the next generation of tools to spark growth in retail, logistics, healthcare, smart cities, manufacturing, and autonomous vehicles, among many others. A recent survey from PWC reveals voice assistants have been used in a host of ways during the past decade and they will continue to mold our very essence. Here's what some of the numbers are showing: What's more, adoption of voice-assistant technologies is highest among 18-24-year-olds.