Automation Anywhere, the leader in intelligent automation, announced a historic expansion of its Automation Success Platform, enabling enterprises to accelerate their transformation journeys and put AI to work securely throughout their organizations. Automation Anywhere’s new tools and enhancements deliver AI-powered automation across every team, system and process. During Imagine 2023, the company unveiled a new Responsible AI Layer, and announced four key product updates including the brand-new Autopilot, which enables the rapid development of end-to-end automations from Process Discovery, using the power of generative AI. The company also announced new, expanded features in Automation Co-Pilot for Business Users, Automation Co-Pilot for Automators, and Document Automation.

“The combination of generative AI and intelligent automation represents the most transformational technology shift of our generation,” said Mihir Shukla, CEO and Co-Founder, Automation Anywhere. “Every company, every team, every individual will be able to re-imagine their system of work and automate the processes that hold them back. Great people, empowered with AI and intelligent automation will be absolutely transformative to their organizations as they increase their productivity, creativity and accelerate the business.”

At a glance, Gemini’s ability to generate text and images gives it a serious advantage over GPT4 with respect to the range of content that it can produce.

However, perhaps the most threatening differentiator between the two is Google’s vast array of proprietary training data. Google Gemini can process data taken across services, including Google Search, YouTube, Google Books, and Google Scholar.

The use of this proprietary data in training the Gemini models could result in a distinct edge in the sophistication of the insights and inferences that it can take from a data set. This is particularly true if early reports that Gemini is trained on twice as many tokens as GPT4 are correct.

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The launch of ChatGPT last November shook Google to its foundations. The popular chatbot posed such a threat to the company’s business that it had to declare a code red and began investing in catching up on the generative AI bandwagon. This effort has not only resulted in the release of Google Bard but also Gemini.

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Gemini is a set of large language models (LLMs) that combine GPT-4 with training techniques taken from AlphaGo, such as reinforcement learning and tree search, which has the potential to unseat ChatGPT as the most dominant generative AI solution on the planet.

The company says the robot’s artificial intelligence shows how robots could have a role to play in business.

Companies are struggling with where to start with generative AI. The authors’ case studies, based on their growing global community of over 3,000 GenAI practitioners, point to a new category of work, more precise and actionable than “knowledge work.” They call it WINS Work — the places where tasks, functions, possibly your entire company or industry — are dependent on the manipulation and interpretation of Words, Images, Numbers, and Sounds (WINS). This framework can help leaders identify how vulnerable their business is to changes from this new technology and plan their response.

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Understand where your company stands — and what it needs to do.