landscape


Three Questions To ID If Your Business is Ready for AI

#artificialintelligence

The truth is somewhere in-between; while it is unlikely to entirely eliminate many occupations over the next ten years, AI and machine learning will impact almost all industries, jobs and business to varying degrees. These systems dramatically improving performance, save time, and free up your expensive human talent to focus on strategic tasks. McKinsey estimates that 59 percent of all manufacturing activities could be automated, while a whopping 73 percent percent of the activities that food service workers perform have the potential for automation. Forrester Research expects "enterprise interest in, and use of, AI to increase as software vendors roll out AI platforms and build AI capabilities into applications," as "enterprises that plan to invest in AI expect to improve customer experiences, improve products and services, and disrupt their industry with new business models."


Firing on All Cylinders: The 2017 Big Data Landscape

#artificialintelligence

As a result, it took several years for Big Data to evolve from cool new technologies to core enterprise systems actually deployed in production. In our conversations with both buyers and vendors of Big Data technologies over the last year, we're seeing a strong increase in budgets allocated to upgrading core infrastructure and analytics in Fortune 1000 companies, with a key focus on Big Data technologies. What was previously a headwind for Big Data technologies (hard to rip and replace existing infrastructure) is now gradually turning into a tailwind ("we need to replace aging technologies, what's best in class out there?"). The first few months of 2017 saw a flurry of announcements of big funding rounds for growth stage Big Data startups: Looker ($81M Series D), InsideSales ($50M Series F), DataRobot ($54M Series C), Confluent ($50M Series C), Collibra ($50M Series C), Uptake ($40M Series C), WorkFusion ($35M Series D) and MapD ($35M Series B).


China Britain AI Summit

#artificialintelligence

Organised by China-Britain Business Fusion, the summit presents the very first China-UK event dedicated to fostering opportunities and investment in the AI space. To illuminate the AI landscape in China and the UK, to identify where the opportunities lie & where the key players reside, to uncover the access points for UK technology in the Belt & Road initiative and cement truly global partnerships in the 21st Century. Belt and Road Initiative, what is that? If you are interested in technology, investment, technology transfer, or a corporate looking to better understand the Chinese and British AI landscape, and are looking for truly global partnerships, the China-Britain AI Summit is for you.


How to create the 'perfect' AI-driven bot - Content Loop

#artificialintelligence

Our experience creating our travel assistant app, Mezi, illustrates key principles of AI regarding the ongoing role of human involvement and how to draw the dividing line between valued assistance and unwelcome intrusion. Remember, the goal isn't for your AI to be perfect, it's for your AI to be part of a perfect service. Both to surface the full value proposition of your service, and to deepen that sense of trust, it's important for your AI to anticipate a customer's needs and offer useful help without having to be asked. Snehal Shinde is the CTO and cofounder at Mezi, the personal shopping and travel service.


How AI and New Technologies Will Push the Limits of Native Advertising

#artificialintelligence

In this article, we will explore how the Internet of Things (IoT), augmented and virtual reality (AR/VR), and Artificial Intelligence (AI) will combine to permanently change the native advertising landscape. Juniper Research forecasts spend on VR hardware will surpass $50 billion by 2021, and reports from the International Data Corporation suggest VR devices will ship up to 61 million units by 2020. A specific branch of artificial intelligence (AI) called natural language processing has already had a disruptive effect in some of society's most important endeavours. "AI is going to be like electricity or the internet--it's going to be foundational technology [for] which most things are built," Kyle Nel, Lowe's Innovation Labs, Adweek These natural language processing systems "will ultimately be able to interpret images, numbers, voices, and sensory information.


Is Your Business Ready for AI? Ask These 3 Questions

#artificialintelligence

The truth is somewhere in-between; while it is unlikely to entirely eliminate many occupations over the next ten years, AI and machine learning will impact almost all industries, jobs and business to varying degrees. These systems dramatically improving performance, save time, and free up your expensive human talent to focus on strategic tasks. McKinsey estimates that 59 percent of all manufacturing activities could be automated, while a whopping 73 percent percent of the activities that food service workers perform have the potential for automation. Forrester Research expects "enterprise interest in, and use of, AI to increase as software vendors roll out AI platforms and build AI capabilities into applications," as "enterprises that plan to invest in AI expect to improve customer experiences, improve products and services, and disrupt their industry with new business models."


Google taught an AI to edit photos like a pro and the results are glorious

#artificialintelligence

Google might be close to solving the last part of that puzzle: a couple of its Machine Perception researchers have trained a deep-learning system to identify objectively fine landscape panorama photos from Google Street View, and then artistically crop and edit them like a human photographer would. What's especially interesting is that the AI is capable of applying contextually meaning adjustments in different parts of each photograph, making for dramatic lighting and more compelling images – as opposed to simply applying a filter to the entire picture or adding something predictable like a vignette. I imagine this research will eventually find its way into Google Photos' editing tools, or in the company's other mobile editing app, Snapseed. You can take a look at more AI-edited landscape pictures in this gallery, and find the research paper published by Google's Hui Fang and Meng Zhang here.


How AI will help you sleep better at night

#artificialintelligence

Even while you're sleeping, it's possible to have new AI technologies hard at work to ensure you get a good night of quality, uninterrupted sleep. Then, as you switch positions throughout the night, the bed automatically adjusts to the set firmness by detecting body pressure. The Sleep Number 360 is another cool bed technology that uses AI and machine learning to provide a better night of sleep. From predictive sensors and machine learning to cameras that measure sleep behavior patterns, a remedy for your sleep woes may be a purchase away.


The dangers of letting Big Tech control AI

#artificialintelligence

Worse still, AI is not yet fully democratized and has remained largely the bastion of major tech companies. As it stands now, the vast majority of AI is being developed within the enormous black hole of a few major technology companies. The problems they are tackling, even if real and worthwhile, address just a tiny portion of AI's potential to impact the tech industry and the overall economy, not to mention humanity as a whole. These companies' control of the vast majority of talent, data, and other resources necessary to develop life-changing technologies is bad for any number of stakeholders who would otherwise stand to benefit from AI.


The dangers of letting Big Tech control AI

#artificialintelligence

The reality is that we have enormous strides to make in democratizing AI development, and making these innovations truly accessible and available to mankind. As it stands now, the vast majority of AI is being developed within the enormous black hole of a few major technology platform companies. A few tech industry titans thus control the vast majority of talent, data, and other resources necessary to develop life-changing technologies, and this is bad for any number of stakeholders who stand to benefit from AI. As our systems become more advanced and the costs to develop new AI software begin their predictable fall, it's becoming easier and easier for startups and smaller companies to rise up against the tech giants.