Generative AI: 7 Steps to Enterprise GenAI Growth in 2023

Generative AI is a new buzzword that emerged with the fast growth of ChatGPT. Generative AI leverages AI and machine learning algorithms to enable machines to generate artificial content such as text, images, audio and video content based on its training data. As you can see above most Big Tech firms are either building their own generative AI solutions or investing in companies building large language models. Text Generation involves using machine learning models to generate new text based on patterns learned from existing text data.

Because so little is known publicly about LLMs, it’s difficult for companies to guarantee data is safe. Along with the potential benefits of generative AI, businesses should consider risks. There are concerns around the use of LLMs in the workplace generally, and specifically with Copilot. “Its investment in OpenAI has already had an impact, allowing it to accelerate the use of generative AI/LLMs in its products, jumping ahead of Google Cloud and other competitors,” said Castañón. While Microsoft has no set date for release, Copilot is expected to be widely available late this year. The Microsoft 365 roadmap states that Copilot in SharePoint will roll out to users beginning in November, but Microsoft declined to say whether this would mark the general availability date across the rest of the suite.

Challenges of Generative AI

It can be accessed directly within a particular app — to create PowerPoint slides, for example, or an email draft — or via a natural language chatbot accessible in Teams, known as Business Chat. If, for example, Microsoft were to include Copilot as part of its E5 enterprise offering, many smaller businesses might not get access to the technology, slowing its overall growth. ML involves using text, pictures, and voice evaluation to grasp people’s emotions. For example, AI algorithms can learn from web activity and user data to interpret customers’ opinions towards a company and its products or services.

Here, unmarked data is used to develop models that can predict more than the marked training by enhancing the data quality. Generative AI offers better quality results through self-learning from all datasets. It also reduces the challenges linked with a particular project, trains ML (machine learning) algorithms to avoid partiality, and allows bots to understand abstract concepts. Google reported a 20% growth in water use in the same period, which Ren also largely attributes to its AI work. Google’s spike wasn’t uniform — it was steady in Oregon where its water use has attracted public attention, while doubling outside Las Vegas. It was also thirsty in Iowa, drawing more potable water to its Council Bluffs data centers than anywhere else.

How can M365 customers prepare for Copilot?

She pointed to various data privacy and security risks related to the use of large language models (LLMs), which underpin generative AI tools, as well as their tendency to “hallucinate” or provide incorrect information to users. Whether or not Copilot will be the catalyst for a shift in how collaboration and productivity apps work remains to be seen, he said. Data augumentation is a process of generating new training data by applying various image transformations such as flipping, cropping, rotating, and color jittering. The goal is to increase the diversity of training data and avoid overfitting, which can lead to better performance of machine learning models. Art AI is one such example of an art gallery that showcases AI-generated paintings. It released a tool that transforms text into art and helps the creators sell their art pieces on NFT.

Image Generation is a process of using deep learning algorithms such as VAEs, GANs, and more recently Stable Diffusion, to create new images that are visually similar to real-world images. Image Generation can be used for data augmentation to improve the performance of machine learning models, as well as in creating art, generating product images, and more. Building a large language model requires analyzing patterns across a huge trove of human-written text.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

What is Microsoft 365 Copilot?

The upscale examples include photography of a woman from 64 x 64 input to 1024 x 1024 output. The process helps restore old images and movies and upscale them to 4K and more. Generative AI allows people to maintain privacy using avatars instead of images. In addition, it can also help companies opt for impartial recruitment practices and research to present unbiased results. “They’re building them as fast as they can,” said Steve Gaer, who was the city’s mayor when Microsoft came to town. Gaer said the company was attracted to the city’s commitment to building public infrastructure and contributed a “staggering” sum of money through tax payments that support that investment.

In some ways, West Des Moines is a relatively efficient place to train a powerful AI system, especially compared to Microsoft’s data centers in Arizona that consume far more water for the same computing demand. The use of LLMs also opens up the prospect of prompt injections, where an attacker hijacks and controls a language model’s output — and gains access to sensitive data. While Microsoft 365 has enterprise security controls in place, “they’re not directed at the new AI functions and content,” said Litan. “The legacy security controls are definitely needed, but you also need things that look at the AI inputs and outputs. While Copilot inherits existing Microsoft 365 access controls and enterprise policies, these are not always sufficient to address the risks posed by the use of LLMs, Gartner said. Several risks can arise when deploying Copilot in its current form, said Litan, one of the authors of the Gartner report.

How does Copilot compare with other generative AI tools for productivity and collaboration?

“Do not publish and use something straight out of ChatGPT. Any factual claim that the ChatGPT Yakov Livshits output makes, you need to double-check it against sources, because it could be made up.

• If you want to benefit from the AI, you can check our data-driven lists for AI platforms, consultants and companies.
• Chevron, Goodyear, and General Motors are among those now testing the AI assistant.
• Other firms that compete with elements of the Microsoft 365 portfolio, such as Zoom, Box, and Cisco, have also touted generative AI plans.
• Slack, the collaboration software firm owned by Salesforce and a rival to Microsoft Teams, is also working to introduce LLMs in its software.
• Generative AI leverages AI and machine learning algorithms to enable machines to generate artificial content such as text, images, audio and video content based on its training data.
• Copilot can also generate suggested speaker notes to go with the slides and add more images.

It does this by learning patterns from existing data, then using this knowledge to generate new and unique outputs. GenAI is capable of producing highly realistic and complex content that mimics human creativity, making it a valuable tool for many industries such as gaming, entertainment, and product design. Recent breakthroughs in the field, such as GPT (Generative Pre-trained Transformer) and Midjourney, have significantly advanced the capabilities of GenAI. These advancements have opened up new possibilities for using GenAI to solve complex problems, create art, and even assist in scientific research. Since announcing a partnership with ChatGPT creator OpenAI earlier this year, Microsoft has been deploying its Copilot generative AI assistant across its suite of Microsoft 365 business productivity and collaboration apps.

Slack, the collaboration software firm owned by Salesforce and a rival to Microsoft Teams, is also working to introduce LLMs in its software. Other firms that compete with elements of the Microsoft 365 portfolio, such as Zoom, Box, and Cisco, have also touted generative AI plans. “The best of products can be strangled in the crib by bad licensing and poor accessibility,” said Gownder. So far, there have only been demos of the Microsoft tool; it’s in early testing with a limited number of customers and is expected to be generally available later this year. If you want to benefit from the AI, you can check our data-driven lists for AI platforms, consultants and companies. Read our article on Stability AI to learn more about an ongoing discussion regarding the challenges generative AI faces.