The New Building Block in the world of AI/ML- Chatbot

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In a world where digital is everywhere, people’s interactions across society are changing. They are reevaluating their relationships with businesses and governments. They are rethinking their actions in a globally interconnected economy and seeking more sustainable products and services.

Chatbot has emerged as an intrinsic part of this process,
to the point where it has become deeply embedded in how people work and live. Enterprises have furthered this reliance by weaving technologies like AWS, Watson Assistant, other RPA modules into their product and service offering and how they are delievered to customer

But the existing business and technology models that organizations have used for years are under increasing scrutiny. Despite broadly using and benefitting from technology such at cold calling and support services from call center executives, Clients and World is changing with the adaption of new models to train bots in providing their customers and clients with Human touch Cognitive and Immersive skills and hence the need of the hour calls in advocating for change.

Smart products are appearing everywhere, but businesses create walled gardens around them, turning a world
of unprecedented choice and customization into one of ecosystem lock-in. Privacy and security concerns around the troves of valuable data people produce lead to hesitation and distrust. AI is being applied to bigger challenges, but is still largely focused on automation, leading people to worry about losing their livelihoods.

And the issues leading to tech-clash are changing constantly as technology becomes ever more prominent in people’s lives. AI systems today are being used to decide whether a job candidate should proceed to an interview or recommend whether criminal defendants should be allowed to post bail.11 As the capabilities of AI-driven systems have grown beyond automating boring or repetitive tasks, to making decisions that directly impact people’s lives, the fact that many of these systems are still “black-box” leaves people skeptical about the fairness and effectiveness of the algorithms.12

This deadlock must be broken, or the progress of the last 20 years will grind to a halt. Governments from the
European Union, United States, Brazil and other countries are attempting to ease the burden by creating new rules, guidelines and practices.13, 14, 15 But lawmakers are limited to addressing or changing existing models—not building new ones. The true path to solving the tech-clash rests in the domain of the enterprise, driven through what products and services companies build and how they offer them
to customers, employees and ecosystem partners.

For people to accept the flurry of new product and service innovations that companies are eager to introduce, a major reckoning must take place. Companies must synchronize the business and technology models that drive enterprise value with people’s evolving expectations

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