Gary Fowler is a serial AI entrepreneur with 17 startups and an IPO. He is CEO and co-founder of GSDVS.com and Yva.ai. The long-standing question of whether technology will replace humans is a very popular topic for discussion. And yet, the resolution to this debate is not that simple or black and white; there are a lot of factors playing into the relationship between technological process and human engagement. Among the biggest trends in technological advancement that have been raising such questions are automation and hyperautomation. The two are different yet interrelated.

How can enterprises propel their purpose and people forward while fueling profitability and growth? By harnessing deep business insights and the latest digital technologies such as AI, blockchain, analytics, cloud, and the Internet of Things in partnership with Tata Consultancy Services (TCS), the world's leading companies are delivering positive outcomes for their customers, employees, partners and communities.

Artificial Intelligence technologies might well replace humans in the workplace entirely someday. But at least for the foreseeable future, businesses will derive far more value using AI to augment and enhance existing capabilities than to automate away human jobs. Analyst firm Gartner predicted in a recent report that by 2021 organizations worldwide will create $2.9 trillion of business value and some 6.2 billion hours of worker productivity by harnessing AI to support decision-making, improve efficiencies and to enable new applications. Far from replacing jobs, companies will use AI in conjunction with humans to create more business value, says Svetlana Sicular, research vice president at Gartner. "There are many themes about AI taking away jobs," Sicular says.

Consider that business managers currently spend 54% of an average work day on administrative chores such as scheduling, budgets and reports, according to an Accenture survey in the Harvard Business Review. They spend just 10% on strategic planning and even less, 7%, engaging one-on-one with their direct reports--two tasks that are key to managerial success. A growing number of AI applications, however, promise to drastically reduce business leaders' workloads by taking over many of those low-value and repetitive tasks. By 2021, this shift will generate an estimated $2.9 billion in business value and save 6.2 billion hours of worker productivity, according to Gartner. The upshot: Managers will have more time to perform more valuable work.

Giving rise to a new class of intelligent logistics assets and operational paradigms, DHL and IBM in their joint report "Artificial Intelligence in Logistics" outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favorable than ever before. The collaborative report identifies implications and uses cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at a great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them. "Today's current technology, business, and societal conditions favor a paradigm shift to proactive and predictive logistics operations more than any previous time in history" explains Matthias Heutger, Senior Vice President and Global Head of Innovation DHL.

The reported clash between the two technology titans is proof that not everyone sees the benefits and dangers of artificial intelligence in the same light. Yet from Facebook's algorithms to Tesla's self-driving cars, it's clear that AI isn't science fiction any longer--and that we're already at the cusp of a new era, with AI poised to deliver transformational change in business and society. As we explain in our book Human Machine: Reimagining Work in the Age of AI, which is based on research with 1,500 organizations, the fundamental rules by which organizations run are being rewritten daily. As businesses deploy AI systems--from machine learning to computer vision to deep learning--some will see modest short-term productivity gains. But others--by understanding and taking advantage of the true nature of AI's impact--will attain breakthrough improvements in performance, often by developing game-changing innovations.

Recent advances in computational capabilities and the evolution of exponential technologies such as AI, machine learning, IoT, big data and predictive analytics all built on powerful cloud platforms have heralded the rise of the Intelligent Enterprise. This is creating exciting opportunities and new challenges for COOs, who are currently tasked with building the organisational infrastructure that will enable exponential organisational strategy. The rise of exponential technologies is pushing organisations into a self-running future where machine learning, AI, predictive analytics, IoT and robotic process automation increasingly substitute or augment human capabilities. In the evolution from a traditional manual enterprise to a self-running enterprise, business leaders need to self-assess to first understand what phase they are in before developing digital change initiatives to bring them closer to their internal objectives. "The rise of exponential technologies is pushing organisations into a self-running future where machine learning, AI, predictive analytics, IoT and robotic process automation increasingly substitute or augment human capabilities."

Artificial Intelligence (AI) can help logistics providers deliver articles even before the customer has even ordered them, according to a new report from DHL and IBM. The companies evaluated the potential of AI in logistics and determined how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. "Today's current technology, business, and societal conditions favor a paradigm shift to proactive and predictive logistics operations more than any previous time in history" explains Matthias Heutger, Global Head of Innovation DHL. "As the technological progress in the field of AI is proceeding at great pace, we see it as our duty to explore, together with our customers and employees, how AI will shape the logistics industry's future." The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities.

AUSTIN, Texas--(BUSINESS WIRE)--In a joint report, DHL, the world's leading logistics service provider, and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.

In a joint report, DHL and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.