Integrate the latest LLM, GPT, and machine learning advancements for faster insights and improved decision-making.
Where do we start in bringing LLM and GenAI to our business processes and workflows?
How can generative AI change the way we do business and give us a competitive edge?
What are the risks of bringing LLMs and other applications inside the organization?
Consumer-facing LLMs generate text by aggregating billions of web pages and text source to assemble the response to a request showing the most statistically probable “right” answer. That is why LLMs are often described as a super-smart autocomplete.
The answer an LLM gives you might be right. At least it sure sounds right. But unless you’re an expert or have one nearby, you can’t know for sure. As long as LLMs are drawing their answers from these general, mainstream datasets, we’ll continue to see these “hallucinations” and watered-down generic answers.
You don’t need an answer that sounds right. You need the right answer. From your own data.
Gemini Explore for GenAI uses a process called retrieval augmented generation to find the connected answers in your datasets and leverage LLM technology to assemble the best answer. It then returns the answer back to the end user in visualized graph format and accompanying plain-language analysis that anyone can understand.
Generative AI tools can facilitate the development of innovative products and services by drawing connections between customer feedback, industry trends, and diverse data sets, leading to solutions that were previously unimaginable
Generative AI can bolster personalized marketing strategies and targeted ad campaigns across the omnichannel. Additionally, it can provide on-the-spot guidance to sales teams during customer interactions.
By simulating financial scenarios, generative AI can aid in predicting market trends and risks. Financial services and insurance firms can leverage these models to assess credit risk, insurance claims, or stock market patterns, facilitating informed decision-making and reducing risk exposure.
Generative AI can revolutionize HR processes such as resume screening, job description creation, and candidate interviewing. This can expedite the process of filling open positions with the most suitable candidates.
Chatbots are already proving their value by blending LLM technology with a company’s knowledge base and help articles. These technologies can help cut resolution time and ticket volume and provide a better self-serve experience.
Through different phases of the customer journey, these cutting-edge technologies can provide personalized experiences at scale. This can help improve conversion rates across marketing, sales, service, and support, enhancing overall customer satisfaction.
Generative AI can assist in planning and simulating cyber attacks, allowing businesses to assess their resilience against various threats. This facilitates quicker analysis, reporting, and data protection, ensuring the overall security of your business operations.