Exploring data is crucial in data analysis, as it helps users understand and interpret the data more effectively. However, performing effective data exploration requires in-depth knowledge of the dataset and expertise in data analysis techniques. Not being familiar with either can create obstacles that make the process time-consuming and overwhelming for data analysts. To address this issue, we introduce InsightPilot, an LLM (Large Language Model)-based, automated data exploration system designed to simplify the data exploration process. InsightPilot automatically selects appropriate analysis intents, such as understanding, summarizing, and explaining. Then, these analysis intents are concretized by issuing corresponding intentional queries (IQueries) to create a meaningful and coherent exploration sequence. In brief, an IQuery is an abstraction and automation of data analysis operations, which mimics the approach of data analysts and simplifies the exploration process for users. By employing an LLM to iteratively collaborate with a state-of-the-art insight engine via IQueries, InsightPilot is effective in analyzing real-world datasets, enabling users to gain valuable insights through natural language inquiries. We demonstrate the effectiveness of InsightPilot in a case study, showing how it can help users gain valuable insights from their datasets.

Companies are constantly faced with obstacles and hurdles that impact the efficiency of their business processes and operations. To successfully manage these obstacles, organizations must seek technology solutions that adequately address their data and turn information into usable knowledge. Doing so will allow companies to have healthy growth with partners, customers, and their workforce. To grow in these areas, companies should lean on technology solutions that are easily scalable across various business areas – for example, an insight solution specializing in information insight. One of the most prominent areas that make insight solutions "masters of scale" is the ability to automate repetitive and monotonous tasks.

The coronavirus crisis had a noticeable domino effect in several areas related to lifestyle, wellbeing, public health, economics, and more. A large-scale change the world witnessed that perhaps was not as anticipated as the others was the Great Resignation. Of course, this is in reference to the substantial number of workers who decided to leave their jobs over the past few years. Many factors have led to the boost in employee departures. As top reasons, a variety of people attribute a reevaluation of their priorities regarding salary, working conditions, and what they want to accomplish in life.

ReFED is a national nonprofit working to end food loss and waste across the food system by advancing data-driven solutions to the problem. ReFED leverages data and insights to highlight supply chain inefficiencies and economic opportunities; mobilizes and connects supporters to take targeted action; and catalyzes capital to spur innovation and scale high-impact initiatives. Starting with the 2016 Roadmap to Reduce U.S. Food Waste, ReFED has developed a trusted history of producing first-of-their-kind tools and resources, providing a full-supply-chain picture of U.S. food waste, cost-effective solutions to reduce it, and methods to track progress. In February 2021, ReFED launched its new Roadmap to 2030 and Insights Engine, an online data center designed to serve as the next generation of data, insights, and guidance on U.S. food waste reduction. Solving this problem will have a significant impact on mitigating climate change, optimizing use of water, land, and other resources, and providing meals for the over 50 million people in the United States who currently face food insecurity.

Corporations today must operate on sound intelligence that comes from every corner and crevice of their business. Information is everywhere, and the ability to extract existing data that cover all details of your operations can give you powerful insights into your people, departments, business units, and even competitors. Taking the proper steps to manage your knowledge equips you with a 360-degree view of your company, giving you a competitive edge and a clear path towards your business goals. Effective knowledge management starts with effective knowledge gathering. This begins with utilizing artificial intelligence (AI) to extract data from unstructured sources to automatically be placed in a single database and converting this data to structured information.

The bid management process is time-consuming, intense, and tedious. With that said, it is also imperative to the longevity of your business and key part of every successful B2B organization. Bid management teams can manage this process, but we know it is not always easy, and solutions exist to automate the most labor-intensive parts of the journey. AI-driven information insight provides the intelligence businesses need to assist their bid management teams and win more contracts for their company. A buyer lists a request, companies get notified, bid teams plan and prepare, bid writers compose and submit tender responses, the buyer evaluates the answers, and finally, the buyer awards the tender.

It is no secret that the way we work has changed. We have been heading toward a "digital workplace" for some time; the pandemic only forced us to get here much faster. The office is no longer a singular address, and nine-to-five isn't necessarily the status quo for all companies anymore. As the lines between home and office and professional lives and personal lives continue to blur, it is more important than ever that enterprises are using tools that facilitate communication, collaboration, and the optimization of resources. Organizations that want to succeed in this area need a clear digital workplace strategy that implements technology to enhance the employee experience.

As Artificial Intelligence (AI) continues to democratize and scale toward many functional areas in enterprise organizations, solutions like Insight Engines prove their utility and make great strides toward massive adoption. They give business users better search results and help departments save time and all functional areas of an organization to be more efficient. They also get the ability to search for, access quickly, and analyze data stored in various locations across their enterprise. This rapid digitization of information and delivery of insight has transformed the way businesses find and consume information. How do you keep up with this pace of change to stay ahead of the competition? The answer is by using advanced tools like AI-driven Insight Engines.

ReFED is a national nonprofit working to end food loss and waste across the food system by advancing data-driven solutions to the problem. ReFED leverages data and insights to highlight supply chain inefficiencies and economic opportunities; mobilizes and connects supporters to take targeted action; and catalyzes capital to spur innovation and scale high-impact initiatives. Starting with the 2016 Roadmap to Reduce U.S. Food Waste, ReFED has developed a trusted history of producing first-of-their-kind tools and resources, providing a full-supply-chain picture of U.S. food waste, cost-effective solutions to reduce it, and methods to track progress. In February 2021, ReFED launched its new Roadmap to 2030 and Insights Engine, an online data center designed to serve as the next generation of data, insights, and guidance on U.S. food waste reduction. Solving this problem will have a significant impact on mitigating climate change, optimizing use of water, land, and other resources, and providing meals for the over 50 million people in the United States who currently face food insecurity.

The world around us is changing rapidly. With the arrival of industrial revolution 4.0, businesses of all sizes and types are increasingly capitalizing on advanced, intelligent technologies. They are taking advantage of automation to reduce time-consuming, tedious tasks, especially automating assembly line work. However, as such intelligent technologies are better performing than humans, it is necessary businesses must think of knowledge management for their employees. Knowledge is significantly a crucial aspect in achieving high-quality performance for employees.