The breadth of intelligent applications the BigML platform can support spawn many new opportunities for BigML partners to get involved in delivering Machine Learning-based solutions. Our certifications are perfect for software developers, system integrators, technology consulting, and strategic consulting firms to rapidly get up to speed with Machine Learning and the BigML platform as they acquire and grow their customer base.

GlobalData research has found the top artificial intelligence (AI) influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during May 2020. Ronald van Loon is a recognised thought leader in technologies including AI, big data, IoT, machine learning, deep learning, 5G, predictive analytics, cloud, edge and data science. He currently serves as principal analyst and CEO of the Intelligent World, an influencer network that connects experts, businesses, and influencers to new audiences, helping them collaborate, create and share diverse content. Loon is of the opinion that AI has progressed at a furious pace over the past few years, and though it has usurped large chunks of the big data, the technology is nowhere near human intelligence.

Again, while the future of work is still uncertain, there are a number of commonly agreed upon outcomes that are being shaped by these disruptors, at least directionally. The people side of these disruptions seem slightly more predictable over the short-term as many of the changes are driven purely by demographics and personal preferences. For example, Millennials, close to 35% of the global workforce are different than their predecessors (Gen X and the Baby Boomers) in a number of key ways. They tend to be more activist and have a broader reach due to social media. They are taking greater stands against injustice they see in the work place and in society, demanding their employers follow suit. They prefer flexibility in terms of schedules, work-life balance and even locations. They are also far more diverse. The work force of the future will be increasingly non-white and non-Western (there are more Chinese Millennials, approx.

Legend has it that when an emperor asked an inventor to name his reward, the inventor asked the emperor for payment in the humble grain of rice, giving the inventor the total gained by doubling a single grain of rice over a 64-square chessboard. In the end, the final squares had exponential mountains of rice. The velocity of technology advancement, especially for the manufacturing industry, is no different--it's exponential. Despite its lower digital maturity and research and development (R&D) investment than other industries,1 the manufacturing industry has been successful in gradually furthering its innovation agenda by increasing its patent-based innovation intensity to build new product and service capabilities. Continuous advancement will likely become critical to the success in an ecosystem that industry leaders believe is nearing the "second half of the chessboard."2

AI is developing at whirlwind rates. While nobody can say for certain how it will impact our work and personal lives, we can make a good few educated guesses. Also, with COVID-19 limiting human interaction in the built environment, advancements in AI and automation are on course to accelerate (providing funding is available, of course). The age-old fear among some of the population is that AI will displace workers, leading to high levels of unemployment. A report by management consulting firm McKinsey shows that between 400 million and 800 million individuals across the globe could be "replaced" by automation and need to find new jobs by 2030.

When you hear the word "automation...", does your mind skip straight to "…destroys jobs"? If so, there should be a few stops in between. Automation is about removing friction, driving down costs, speeding processes up, and generally improving efficiency. Making goods and services better and cheaper is a good thing: it makes us all richer. There is scope to do this in all walks of life, and not least in professional services, such as accountancy and the law.

COVID-19 has thrown business as usual out of the window for B2B companies across industries. Given the transition to online-only commerce for millions of organizations, it's more important than ever for your digital presence and customer experience to be seamless. This is where artificial intelligence (AI) comes in. Implementing AI-powered tools into your online operations and customer service strategy can be the difference between inefficient processes and unsatisfied clients, and a thriving business in the face of the crisis. The value of AI is already being realized across industry sectors; in fact, global management consulting firm PricewaterhouseCoopers predicts that the technology will generate $15.7 trillion globally by 2030.

AI pilots are progressing into production based on their combined contributions to improving customer experience, stabilizing and increasing revenues, and reducing costs. The most successful AI use cases contribute to all three areas and deliver measurable results. Of the many use cases where AI is delivering proven value in enterprises today, the ten areas discussed below are notable for the measurable results they are providing. What each of these ten use cases has in common is the accuracy and efficiency they can analyze and recommend actions based on real-time monitoring of customer interactions, production, and service processes. Enterprises who get AI right the first time build the underlying data structures and frameworks to support the advanced analytics, machine learning, and AI techniques that show the best potential to deliver value.

The commercialization of AI is playing a positive role in accelerating business digitalization, improving industry chain structures and enhancing information use efficiency. AI has entered an age of machine learning, and the future of AI development will depend on the integration of key technologies and industries. AI investment is returning to reason, with underlying technologies and easy-to-deploy applications more favored by AI leading institutions. The Internet giant has also begun to strategically deploy in the artificial intelligence business related industry. As a new industry in the future, AI enterprises show the characteristics of high growth rate.