How firms are updating their AI models for enterprises

With the upgrade the Microsoft Copilot will be able to facilitate faster and more comprehensive answers, while also boost image generation to 100 per day

Microsoft and Google have updated and relaunched their AI models with enhanced tools to enhance the productivity and time management for the enterprises. 

Microsoft introduced Copilot for Microsoft 365 last year and recently upgraded It for its business users. The American technology company announced on its official website that it is officially upgrading its AI-powered Copilot assistant with GPT-4.

The announcement came as a part of another upgrade, including enhancing Copilot’s image generation for enterprises. The Microsoft Designer’s image generation feature is powered by the DALL-E 3 model and is set to undergo significant enhancement.

Microsoft will provide early access to the GPT-4 Turbo Model to business users. According to the firm, this model will include removing constraints on daily chat limits and conversation length, facilitating faster and more comprehensive responses.

For the image generation feature, Microsoft will offer an image generation boost to 100 per day, enabling the quick creation of custom images from prompts. It is to help businesses streamline workflows, reduce waiting times, and unleash newfound productivity potentials.

AI tools for businesses

According to Microsoft blog, Copilot is currently being used by different enterprises such as Accenture, Bayer, Dentsu Creative, Hargreaves Lansdown, EY Americas, and Wipro Limited. Businesses have adopted AI in their respective fields at different levels to save time, enhance productivity, and swift through research data to help organize and compile it for easy consumption.

In Microsoft’s last Work Trend Index Special Report, the data shows that 70% of Copilot users felt more productive, and 68% said it improved the quality of their work. Overall, the report claimed that users were 29% faster in tasks like searching, writing, and summarizing.

As per the report, 64% of users felt that Copilot helped them spend less time processing mail, and 77% said that once they used it, they didn’t want to give up. The report also showed how Copilot affected the different roles in an enterprise. Salespeople cited Copilot as helping them identify sales opportunities (75%) and compile marketing and sales data (74%).

“Customer service agents cited intelligently routing issues to appropriate agents (70%) and detecting trends across agent-customer interactions (68%). In finance, people cited simplifying financial reporting (73%) and validating data quality (72%),” the report added.

The Copilot for Microsoft 365 is priced at $30 per month for business users, while Google also launched its AI powered-tools for enterprise customers, priced $30 per month. The tools included “Duet AI in Workspace” to assist with writing, drafting emails, generating custom visuals, and more. 

Learning from mistakes

Google on the other hand updated its AI model Gemini, announcing at the company’s first annual cloud conference in Las Vegas, promoting it for enterprises. Thomas Kurian, Cloud Executive Officer at Google, said, “Enterprises have been piloting with us a number of scenarios with generative AI; now they’re deploying them in production,” as reported by Business Standard.

Though first introduced in February for the enterprises, Gemini was paused after the Google image generation mishap, which was addressed by Sundar Pichai, CEO of Google and Alphabet in a press release. The chatbot, when it was called Bard, also shared incorrect images of planet outside the solar system in a promotional video which caused its shares to fall by 9%, reported by Forbes.

Under the update, the business users will get Vids, a new AI powered Workspace app which will be released in June, while Meet will be able to transcribe in 52 new languages. A new AI security add-on was also introduced at the cost of $10 per month to identify, classify and protect sensitive files. 

Google is pushing its AI platform towards enterprise and business use, trying to be at the forefront of the AI shift in the tech industry. Pichai claimed in the blog that “more than 60% of funded generative AI startups and nearly 90% of gen AI unicorns are Google Cloud customers.” 

AI companies like Anthropic, Al21 Labs, Contextual AI, Essential AI and Mistral AI are using Google infrastructure, as per Google. Google and Mercedes-Benz partnered to utilize Google’s AI tools, including Vertex AI and Gemini, to enhance customer experience, efficient data analysis, and technology innovation.

Uber and Palo Alto Networks also utilize Google AI to solve their customer related issues while also making work efficient. Uber launched new tools to summarize customer communication while Palo Alto is using Gemini’s cybersecurity capabilities. 

The learning curve

According to Goldman Sachs GENAI can deliver a $7 Trillion boost in global GDP over the next 10 years. IDC estimates that India will be the third fastest AI-adopting country in Asia by 2026 after China and Australia. 

Deepak Agarwal, Ex-Executive Director of Indian Oil Corporation shared tips for CIOs to get started using AI. He suggests getting the data house in order. Cloud skills are essential since most GENAI cases require massive data and computing capacity. Work Backwards… First, understand the customer challenge, get the ideal solution, and build the product that solves the challenge. Build responsible and sustainable solutions and select the right foundation model for the right use case, while starting small with PoV.

Shweta Srivastava, head of IT for Matix Fertilisers and Chemicals Ltd, describes the impact of LLMs, saying, “By integrating LLMs into our production and maintenance systems, we’ve been able to pre-empt equipment failures and significantly enhance our demand forecasting. This proactive approach reduces downtime and ensures we’re operating at peak efficiency.”

The race toward the AI launches and upgrades only highlights the need for caution and slow integration of AI models into businesses. CIOs can leverage these models and their AI-powered tools in their businesses to enhance customer services and provide security to the internal system.

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