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.

We take a closer look into Booz Allen-Hamilton's massive artificial intelligence contract with the Pentagon and what it entails for both parties. Booz Allen-Hamilton is a global firm of approximately 26,300 diverse, passionate, and exceptional people driven to excel, do right, and realize positive change in everything that they do. They bring bold thinking and a desire to be the best in consulting, analytics, digital solutions, engineering, and cyber, and with industries ranging from defence to health to energy to international development. They celebrate and value diversity in all its forms; it's something that they truly value as a multicultural community of problem solvers. They believe in corporate and individual citizenship that make communities better places for all.

Artificial intelligence (AI) is redefining the enterprise's notions about extracting insight from data. Indeed, the vast majority of technology executives (91 percent) and 84 percent of the general public believe that AI is the "next technology revolution," according to Edelman's 2019 Artificial Intelligence (AI) Survey. PwC has predicted that AI could contribute $15.7 trillion to the global economy by 2030. AI, in short, is a pretty big deal. However, it's not a monolithic entity: There are multiple flavors of cognitive capabilities.

There've been years of hype about the invincible power of Artificial Intelligence (AI), but a substantial gap between what AI promises and its verity for business transformation still exists. Tech-companies have pitched AI's capabilities for a long-time however, for the majority of the organizations, the benefits of AI continue to be volatile. Artificial intelligence projects are indeed precedence for most of the companies though, there are several possible drawbacks for the unwary. It's not easy to gauge the proportion of businesses that leverage artificial intelligence today. Recent reports demonstrate that adoption rates fall somewhere between 20% and 30% – with adoption generally interpreted as'implementing AI in some form'. KPMG's survey among 30 of the global 500 companies showed that while 30% of respondents used AI for a particular range of purposes, only 17% of the companies implemented the technology at a large scale within the enterprise.

Consider these two sentences: The fox is coming for the chickens. The seeds are coming for your yard. In each case the word "for" is doing very different work: In one it implies a negative, in the other a benefit. Now try: The robots are coming for our jobs. Again, you could interpret this either way--and people do, depending on their points of view. In marketing, for instance, the robots are indeed coming--to help.

Join us for a live online forum where leaders from the Federal Government, Booz Allen, and select industry and academic partners will provide a candid look at how AI is already being applied and explore opportunities to leverage it further.

In simple words, a supply chain involves a series of steps involved to get a product or service to the customer. There is always a network between a company and its suppliers to produce and distribute a specific product to the final buyer. This network includes different activities, people, entities, information, and resources. The supply chain also represents the steps it takes to get the product or service from its original state to the customer. These steps generally include moving and transforming raw materials into finished products, transporting those products, and distributing them to the end-user.

Artificial intelligence in business is a rapidly developing field, plugged directly into academic research. For all the talk of democratization of AI tools, it is safe to assume that cutting edge machine learning innovation – the kind that makes you eat up market share – will remain the domain of experts and professionals. So it comes as no surprise that major professional services firms have started to assemble new practices dedicated to AI. McKinsey acquired its data science flagship, London-based QuantumBlack in 2015. Atos is currently adding more staff at zData, an American data science startup it purchased in 2017. Boston Consulting Group launched GAMMA in 2016 to focus on data science and advanced analytics projects.