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FAQ

Frequently Asked Questions

What is AI?

Artificial Intelligence (AI) is the field of computer science dedicated to developing software that emulates the cognitive functions or behaviors of biological organisms. AI is considered a big tent, covering many different approaches including machine learning, neural networks, robotics, and evolutionary algorithms. These often-distinct technologies mimic different biological systems, modeling the acquisition of new knowledge, reasoning, movement, and adaptation. Most AI models aim to enable computers to perform tasks that typically require human intelligence, including understanding language, recognizing patterns, solving problems, and autonomously interacting with their environment. Large Language Models (LLMs) are one example of artificial intelligence.

Large Language Models (LLMs) are artificial intelligence systems built to understand, generate, and manipulate human-like text. They are a type of machine learning, modeled on neural networks, that are trained on vast amounts of textual data to perform natural language processing tasks. LLMs have millions to billions (or even trillions) of parameters. These parameters allow the model to follow general language patterns, conform to grammar, recognize context, and establish relationships between words.

Analyst’s Copilot is built on the Azure Cloud platform and leverages multiple large language models like ChatGPT and Cohere to be LLM agnostic. Its modular architecture is designed to be adaptable and extendable based on an Application Programming Interface (API) framework.

Staying at the forefront of LLM technology is a top priority to ensure our product remains cutting-edge and continues to deliver exceptional value to industry analysts. We achieve this through a combination of strategic initiatives and collaborative efforts, including our partnership with the Computer Science Department at Tufts University.

The Analyst’s Dilemma refers to the conflicting demands on industry analysts’ time. Analyst’s Copilot addresses the Analyst’s Dilemma by offering an AI-powered application that streamlines the information-gathering process. The tool leverages large language models (LLMs) and the Azure Cloud platform to provide analysts with regular, tailored updates of their coverage area. This new efficiency frees analysts to focus on more profitable tasks like writing reports, providing advisory services, attending events, and supporting sales.

Analyst’s Copilot integrates seamlessly into the existing workflows of industry analysts by delivering tailored updates directly to their preferred devices. Its cloud-based, AI-powered platform automates routine research tasks, allowing analysts to receive daily summaries of their coverage area without disrupting their established processes. This integration ensures that analysts can incorporate the tool into their daily routines with minimal effort, enhancing their overall efficiency.

Analyst’s Copilot is an early example of a trend in B2B application software that delivers measurable business benefits through LLM powered solutions. Unlike general-purpose AI systems, it provides specialized features tailored to the unique needs of industry analysts, enabling them to be productive in ways that are currently unachievable with conventional procedure-based products. This positions Analyst’s Copilot at the forefront of a market trend towards more intelligent, industry-specific LLM software solutions.

According to the US Bureau of Labor Statistics (BLS), there are approximately 40,000 to 60,000 industry analyst positions in the United States alone. This estimate is based on the BLS’s total job estimate of 404,800 for the combined categories of industry and financial analysts, with industry analysts accounting for about 10% to 15% of that total.

The US Bureau of Labor Statistics (BLS) projects that industry analyst jobs will grow faster than average occupations.