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The Data Management and Advanced Analytics Services 2023 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any data management and advanced analytics projects. The report also highlights key challenges that enterprises face today.
The Data Management and Advanced Analytics Services 2023 RadarView™ assists organizations in identifying strategic partners for data management and advanced analytics by offering detailed capability and experience analyses of service providers. It provides a 360-degree view of key data management and advanced analytics service providers across practice maturity, partner ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right data management and advanced analytics services partner. The 58-page report also highlights top market trends in the data management and advanced analytics space and Avasant’s viewpoint.
The Cloud Platforms 2023 RadarView™ assists organizations in identifying strategic partners for cloud adoption by providing a detailed analysis of key cloud platform providers across product maturity, enterprise adaptability, and innovation road map. The 32-page report highlights top supply-side trends in the cloud platforms space and Avasant’s viewpoint.
The Cloud Platforms 2023 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any cloud adoption project. It also provides insights into the key use cases addressed by enterprises across various industries.
The Cloud Platforms 2023 RadarView™ assists organizations in identifying strategic partners for cloud adoption by providing a detailed analysis of key cloud platform providers across product maturity, enterprise adaptability, and innovation road map. The 32-page report highlights top supply-side trends in the cloud platforms space and Avasant’s viewpoint.
Our quarterly Residual Value Forecast (RVF) report provides forecasts for the following categories of IT equipment: desktop computers, laptops, network equipment, printers, servers, storage devices, and other IT equipment. It also includes residual values for other non-IT equipment in the following categories: copiers, material handling equipment (forklifts), mail equipment, medical equipment, test equipment, and miscellaneous equipment such as manufacturing machinery and NC machines. Residual Value Forecasts are provided for five years for end-user, wholesale, and orderly liquidation values (OLV) prices.
Generative AI is the talk of the town and there is a lot of hyperbole about its capabilities and use cases. However, the true value will be derived by organizations that are able to build the right data and cloud environments that can enable Gen AI applications. In this research byte, we explore the actual maturity of generative AI and what its foundational elements are. We also discuss how service providers need to focus on building services and offerings for helping their customers build the data and cloud environments required to derive Gen AI value. We highlight the efforts of one such service provider, Infosys, based on its recent annual conference, Americas Confluence 2023, held in September.
Addressing data challenges requires strategic investment in innovative tools, robust data management practices, and the use of pre-trained ML models effectively. However, the ever-accelerating pace of data generation and the need to run numerous scenarios for optimal decision-making continue to be daunting. The limitations of traditional computing capabilities often pose significant challenges in managing vast amounts of data in real time. This situation underscores the need to pivot to the next generation of computing power—high-performance computing, edge, and quantum computing modalities.
This research byte sheds light on how service providers and enterprises can leverage generative AI to enhance developer productivity. By harnessing the power of generative AI, developers can accelerate software development, convert between coding languages, improve code quality and documentation, build innovative solutions, and streamline workflows, thus enhancing their productivity.
Enterprises are focused on driving secure digital transformation, transitioning to proactive risk management. They are aiming to leverage AI/ML models to automate various aspects of compliance management, risk assessment, fraud detection, data privacy, and disaster recovery services. Service providers are developing solutions to not just mitigate security risks but also help organizations govern the use of technology safely across their IT infrastructure, given the pace and complexity of modern business operations. Both demand-side and supply-side trends are covered in our Risk and Compliance Services 2023 Market Insights™ and Risk and Compliance Services 2023 RadarView™, respectively.
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