WHY IT MATTERS: Digital Transformation

We estimate that globally, there will be 86,000 authors pre-publishing fundamental and applied AI research papers on arXiv in all of 2020; and that there are approximately 478,000 people globally with the specialized AI technical skills needed for building an AI product. You can read the full report with further breakdowns of the data here. Below I share why understanding the talent pool can help explain the friction in getting AI to work.

URL2Video, a research prototype pipeline to automatically convert a web page into a short video, given temporal and visual constraints provided by the content owner. URL2Video extracts assets (text, images, or videos) and their design styles (including fonts, colors, graphical layouts, and hierarchy) from HTML sources and organizes the visual assets into a sequence of shots, while maintaining a look-and-feel similar to the source page. Given a user-specified aspect ratio and duration, it then renders the repurposed materials into a video that is ideal for product and service advertising.

A deepfake was used to create the fake author of the dubious Hunter Biden report. Martin Aspen, allegedly a Swiss security analyst who authored a report about the business activities of Joe Biden's son in China, is a completely fictional persona, disinformation researchers have concluded, according to a report by NBC News. The researchers say the report was part of an elaborate attempt to smear Biden. Among many other indications that Aspen is a fiction, the experts concluded that photos of Aspen that appear on various social media pages were created using deepfake technology, the A.I.-based method that can create fictional faces or graph one person's head onto another's body.

Because of the coronavirus pandemic, smaller football teams are relying on AI-powered cameras to cast live matches through YouTube. The camera was supposed to track the ball automatically using AI and show footage on YouTube. However, the camera’s AI thought a bald linesman’s head was the ball, and repeatedly kept showing him instead of the ball in play. Fans were not happy about this, and they had to even miss the team’s lone goal because of the glitch.

ai’s heralds say further transformations are still to come, for better and for worse. In 2016 Geoffrey Hinton, a computer scientist who has made fundamental contributions to modern ai, remarked that “it’s quite obvious that we should stop training radiologists,” on the grounds that computers will soon be able to do everything they do, only cheaper and faster. Developers of self-driving cars, meanwhile, predict that robotaxis will revolutionise transport. Eric Schmidt, a former chairman of Google (and a former board member of The Economist’s parent company) hopes that ai could accelerate research, helping human scientists keep up with a deluge of papers and data.

People have been training A.I. to write movie scripts for years, but this one is different. It showcases just how far A.I. creativity has come.

The challenge of search and recommending products online is increasingly being solved with data science as e-tailers compete on personalisation. New e-commerce platform Psykhe makes recommendations based on personality traits by identifying both the user and the products; its models can assign products a “personality profile”, informed by traits such as openness or neuroticism, in addition to traditional details, without human input. Resale platform Rebag has developed a universal taxonomy for designer handbags to better appraise products. And Facebook recently unveiled GrokNet, a tool that automatically identifies and describes items in pictures to help people sell items on its marketplace.

This Constellation ShortList™ presents Artificial Intelligence and Machine Learning Best-of-Breed Platforms relevant to early adopters pursuing digital transformation. Offerings included in this document meet the threshold criteria for this category as determined by Constellation Research.

Here are my top six trends:

1-Niche Rich: Continued Customer Segmentation Refinement

2-Digital Meets Physical: Balancing Convenience and Connection

3-Sustainability: Casting a Very Long Shadow

4-New Formats: The Next Marketplaces, More DTC Brands

5-The Linchpin: Data and Technology

6-Mall Fall: Department Store Degradation and Mall Seizure

Complimentary copy of the latest Gartner Magic Quadrant for CRM Customer Engagement Center (CEC) and find out why Freshworks is the only company recognized as a Visionary.

The future travel experience will be personalised, delivering seamless and safe services that are high value, low touch and consumer-centric, thanks to an accelerated digital transformation post-pandemic. These new advances in technology will usher in a new era of automation, requiring upskilling for employees to provide greater levels of high-quality service. Tracking climate impact across consumers, brands and destinations will be critical for building resilience, agility and speed to combat future risks and accelerate the green transition.
This white paper outlines a vision for how consumers will book and experience travel in 2040, exploring how technology and the need for sustainability could change the travel experience over the next 20 years. In particular, this analysis will focus on the future of travel — exploring what online travel agents, urban mobility, air travel and hotels will look like.

Performance engineering will be riskier than Moore’s Law ever was. Companies may not know the benefits of their efforts until after they’ve invested substantial programmer time. And speed-ups may be sporadic, uneven, and unpredictable. But as we reach the physical limits of microprocessors, focusing on software performance engineering seems like the best option for most programmers to get more out of their computers.

The trends in this report — while buttressed by data and evidence — are meant to shake our faith in steady trend lines. They point to areas where conditions are ripe for discontinuity and disruption. This report asks us, in effect, to “watch these spaces,” and expect to see surprises and opportunities. In that spirit, here are 14 tech trends that deserve close attention in the first year of the 2020s

In June of 2018, in the midst of all the other letters demanding that the company stop police use of Rekognition, Raji and Buolamwini expanded the Gender Shades audit to encompass its performance. The results, published half a year later in a peer-reviewed paper, once again found huge technical inaccuracies. Rekognition was classifying the gender of dark-skinned women 31.4 percentage points less accurately than that of light-skinned men.

Which technology trends are most likely to impact your business in the coming years? Trends are waypoints to help anticipate future states in a world where uncertainty looms. The Future Today Institute's annual Tech Trends Report asks you to examine your assumptions, cherished beliefs and expectations for the future using a bolder, more holistic perspective. In the 13th edition of our Tech Trends Report, we forecast the key technology trends that will redefine businesses in the coming years. More importantly, we offer strategic analysis and guidance on those trends and further explore them in future scenarios to help you understand their implications on your organization and industry.

The C3.ai COVID-19 Data Lake uniquely integrates multiple data sources in a unified data model, ready for analysis – not just a list of links or a collection of data sets. Stop wasting time wrangling data and focus instead on generating insights. Access data at no charge with any utility that supports RESTful APIs.

COVID19. Caméra de contrôle d’accès Intelligence Artificielle embarquée, mesure la température et port du masque. Sécurisez vos employés et les clients.

SINGAPORE: Far from barking its orders, a robot dog at Bishan-Ang Mo Kio Park politely asks joggers and cyclists to stay apart and keep to safe distancing measures.

However, today’s chips take years to design, resulting in the need to speculate about how to optimize the next generation of chips for the machine learning (ML) models of 2-5 years from now. Dramatically shortening the chip design cycle would allow hardware to adapt to the rapidly advancing field of ML. What if ML itself could provide the means to shorten the chip design cycle, creating a more integrated relationship between hardware and ML, with each fueling advances in the other?

By providing retailers with real-time, accurate, and consistent data on OOS, they’re able to manage inventory successfully— including reducing costs—while improving in-store efficiencies. Our robots scan every aisle daily, providing employees prioritized tasks that allow them to take immediate action to reorder or restock based on velocity, department, promotion and more.
Bossa Nova enables retailers with precise granular data like persistent OOS in specific departments, and items with consecutive OOS days, triggering automatic reordering where necessary

Aura connects to the existing cameras of the location you want to monitor. Thanks to a plug and play installation, Aura will be functioning almost instantly; while the results will be available in the next 24 hr. Besides the general demographic information such as age, (7 range are provided) and gender; Aura can, as well, help to monitor what the customer is doing. The latter is possible by providing: Footfall, Area dwell times, Heatmaps, Service wait times. 

The past few decades have seen unprecedented levels of innovation, especially in what Peter Thiel calls the world of “bits,” or software, internet, and mobile technology.

According to Thiel, however, there’s a sense that the tech space “could be doing so much more,” especially in what he calls the world of “atoms” or efforts to create things like new forms of energy, medicine, and transport — spaces that tend to be costly and challenging to tackle, but also potentially transformative.

Google Cloud was named a Leader and received the highest score across all 10 Forrester New Wave™: Computer Vision Platforms, Q4 2019 evaluation criteria.

Artist Karen Palmer is making interactive videos that change depending on your emotional reaction to them. Perception IO is a reality simulator invites you to evaluate your perceptions, become aware of your subconscious behavior, and reprogram it. You will take the position of a police officer watching a training video of a volatile situation. How you respond will have consequences for the characters. The system will track your eye movements and facial expressions. Analysis of your gaze and your expressions will be revealed, and you will be able to examine your own implicit biases. How comfortable are you with the idea that your perceptions of reality have real-life consequences? Would you bet your life on it?