The report examines the state of data adoption and digitalization across different regions and industries. We have placed these regions and industries into four quadrants based on their level of data adoption and digitalization.
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The quadrants as identified by AIM Research are Innovators, Emerging Markets, Digital Laggards, and Data-driven Pioneers. The study has captured several metrics of entities falling in the “Innovators” and “Emerging Markets” quadrants such as nominal GDP, real-time GDP growth, the share of unicorns present in the regions, the global market size by sectors, sectoral CAGR, inventory turnout ratio, etc. relevant for data science service providers to be able to make efficient investment decisions.
It is to be noted here, that the inventory turnout ratio is essentially the rate that inventory stock is sold, or used, and replaced and highlights the efficiency of each sector in using their inventories. Data plays a critical role in driving innovation and growth in any particular sector or region. Both data-driven decision-making and digital solutions for businesses and economies remain important to stay competitive in today’s data-centric world. This report by AIM Research will provide data science vendors with valuable insights who are looking to expand their business and enhance their understanding of the state of data adoption and digitalization across different regions and sectors.
The “GCC in India 2023” report offers a comprehensive examination of the rapidly evolving landscape of Global Capability Centers (GCCs) in India. It explores the different types of centers, including their functionalities and operational aspects. As businesses globally aim to centralize specific functions for better efficiency, India continues to be a preferred destination due to its talent pool and cost advantages.
In recent years, the field of text-based generative artificial intelligence (AI) has witnessed remarkable advancements, revolutionizing natural language processing and generating human-like textual content. These AI models, such as GPT-3, have demonstrated unprecedented capabilities in generating coherent stories, answering questions, and even simulating human conversation.
However, within this realm of immense promise, lie substantial challenges and obstacles that demand prudent navigation. As text-based generative AI achieves unprecedented capabilities, it simultaneously encounters complex roadblocks that necessitate careful consideration. These challenges encompass a range of intricate issues that span from accuracy and coherence to ethical considerations and contextual understanding.
This report aims to explore and dissect the major roadblocks encountered in the domain of text-based generative AI and present effective strategies to overcome them.
As more organizations across various sectors lean towards data-driven decisions and automation, data science has become a key player in driving operational efficiencies and strategic insights. This shift has led to a significant increase in the number of data science service providers over the years. For enterprises, selecting the right data science partner can be a crucial factor in their success.
To aid businesses in making this critical choice, AIM Research presents the Penetration and Maturity (PeMa) Quadrant for Data Science Service Providers—a reliable industry standard to evaluate vendor competencies.
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.
Our reports provide crucial insights into AI/Data Science landscape, enabling decision-makers to make informed decisions. From market size projections to growth opportunities and beyond – our detailed analyses provide key insights into how businesses can capitalize on this rapidly expanding sector.
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