What Is The Future Of Enterprise AI?

What Is The Future Of Enterprise AI?

Due to the increasing involvement of state players in automation warfare, when AI-driven automation is on its way to becoming a war weapon, what will it mean for an enterprise to stay competitive for survival?

Artificial intelligence is redefining the very meaning of being an enterprise. The rapidly advancing artificial intelligence (AI) capability is on its way to revolutionizing every aspect of an enterprise. The ability to access data has leveled the playing field and brought every enterprise a unique possibility of progress. What needs to be seen is in this level playing field, which enterprises will be able to compete and lay a new foundation for fundamental transformation and which ones will decline.

Acknowledging this evolving reality, Risk Group initiated a much-needed discussion on “The Future of Enterprise AI” with Ankur Dinesh Garg on Risk Roundup.

Disclosure: I am the CEO of Risk Group LLC.

Risk Group discusses "The Future of Enterprise AI" with Ankur Dinesh Garg, chief of artificial intelligence at Hotify Inc., board member and chief of artificial intelligence at Sonasoft, a board member at Iamwire, advisor to many companies and member at Forbes Technology Council based in the United States.

Enterprises across industries are undergoing a profound and lasting shift in the relative balance of AI adoption. AI application will offer each enterprise as many opportunities as it does challenges. While access to Technology, data, and information is common to all enterprises, what is not common is how each enterprise uses that information—and for what reason. While AI has given enterprises across industries and nations the same starting point in access to AI technology, it is crucial to understand the parameters that will define their individual and collective success.

There are many variables in each enterprise ecosystem that will determine whether an enterprise will be able to use the data and information from its ecosystem to develop AI, automate, and transform to succeed. Ankur Garg expands on this notion on Risk Roundup: “All the enterprises are running the race of AI, and who is going to win largely depends on many crucial elements. For example, how accurately enterprise leaders can articulate the problem that they are facing, and the business impact and the value associated with the problem.”

As the state of AI deployment accelerates, it is difficult to grasp what staying competitive means for an enterprise’s survival. It is an understatement that enterprises across nations are expected to face extraordinary challenges and changes in the coming years, with automation driven growth as the only constant in those changes. As a result, it is vital to understand what does AI-driven growth means for enterprises.

The emerging trends in AI-driven automation reflect significant shifts of players and actions in the AI sphere that reveal the reconfigurations of ideas, interests, influence, and investments in the AI domain of enterprise adoption and transformation. Enterprises are beginning to understand the consequences of the evolving artificial intelligence-driven automation ecosystem far beyond narrow artificial intelligence, crossing economic, commerce, education, governance, and trade supply chains. While the relationship between enterprises and automation is complicated, and at times indirect, the force and pace of AI-driven automation change expected in the coming years will present each enterprise challenges and opportunities for its: products, services, processes, operations, and supply chains. From what it seems, the AI applications of tomorrow will be hybrid systems composed of several components and reliant on many different data sets, methodologies, and models.

The growing layers of cyberspace are connecting humans and machines across cyberspace, aquaspace, geospace, and space (CAGS).

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