Showing 1–16 of 24 results
As generative AI continues to evolve, its applications and potential ethical implications become increasingly critical for organizations to address. One way enterprises can navigate this rapidly changing landscape is by implementing a comprehensive usage policy. Here, we discuss 12 essential sections that should be included in a generative AI usage policy.
This report aims to rank firms based on how well suited a company’s policies are for their employees. Last year, AIM expanded the scope by reaching out to a wider set of firms with data science teams in their organisations. In continuation with the initiative, we surveyed hundreds of employers in India to glean insights into how they have created an exemplary work environment for data scientists.
The report aims to explore and evaluate the factors that organizations need to consider when making this decision, analyzing the advantages and disadvantages of both options. By providing insights into the strengths and limitations of API solutions and in-house LLMs, this report will assist organizations in determining the most suitable approach to leverage generative AI for their specific needs.
This report delves into the importance of building a robust prompt engineering capability for successful generative AI applications.
Choosing the right vector database can be challenging for organizations due to the complex nature of unstructured data, varying use cases, the need for specialized algorithms, and the rapid advancements in database technologies, making it crucial to carefully evaluate and select the database that best meets their specific requirements.
This report by AIM Research provides an evaluation of 12 Large Language Models (LLMs) based on various criteria to assess their performance and capabilities. The evaluation highlights the strengths and weaknesses of each LLM and provides insights into their potential applications in various domains.
This detailed analysis of the industry will help the reader develop a clear overview of the key trends and scope of the analytics industry. The report can be studied by recruiters, industry policymakers, companies, and data science experts or aspirants to get an overall view of the analytics industry.
In an era defined by the data revolution, the field of data analytics has become the backbone of decision-making across industries. As organizations strive to harness the power of data, the role of data and analytics professionals has evolved into one of paramount importance. The “Data Science Skill Study 2023” by AIM-Research delves into the multifaceted landscape of these professionals, shedding light on their skills, preferences, and the ever-evolving trends that shape their work.
The advent of Generative AI has breathed new life into an old concept in marketing: ‘segmentation of one.’ The concept of treating every individual customer as a unique segment has been around for decades, but only now, with the advent of advanced AI technologies, has its full potential been realized.
In the field of data science, the prominence of low-code/no-code solutions has grown rapidly. These tools have democratized data analysis and model development, enabling business analysts, domain experts, and citizen data scientists to actively participate in the data science process.
This report seeks to understand the current state of the semiconductor industry in India, based on factors such as the market size of the industry, the ecosystem of the semiconductor industry, and human resources.
This report explores the potential of generative AI techniques in optimizing various processes within AutoML and the steps that organizations need to consider in order to optimally leverage Generative AI in AutoML.
Generative AI, a cutting-edge field of artificial intelligence, holds immense promise in revolutionizing various industries with its ability to create and generate new content. As this technology advances, the job market in the generative AI domain has experienced significant growth, attracting attention from professionals and organizations alike. This research report aims to provide a comprehensive analysis of the evolving generative AI job market.
The market for Generative AI tools is thriving, propelled by the expanding applications of these technologies and the growing recognition of their potential benefits. Industries across the spectrum, from tech and entertainment to healthcare and finance, are leveraging these tools to streamline processes, enhance creativity, and make strides in innovation.
This report aims to provide an exhaustive analysis of Generative AI tools that are dedicated to individual functionalities. By investigating the market dynamics, uncovering trends, and identifying key players, this report offers essential insights into the current scenario and future prospects of these tools.
Traditional ML documentation often suffers from being static and lacking interactivity, making it challenging for users to grasp complex concepts and explore model behavior. However, generative AI can revolutionize documentation by enabling dynamic, interactive, and visual explanations, empowering users to understand and experiment with machine learning models more effectively.
As AI and data science experts, AIMResearch is pioneering advanced market research to shape the way companies make decisions. With a decade of experience under our belt, we are transforming how businesses use AI & data-driven insights to succeed.
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