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Cognizant’s Strategic Advances in Health Sciences: A Recap of Analyst and Advisor Day
The healthcare and life sciences (HLS) sector is undergoing a significant transformation. At the recent Cognizant Analyst and Advisor Day 2024, Cognizant highlighted its strategic advancements in HLS, focusing on patient-centered care, operational efficiency, and technological innovations. Key highlights included AI-driven solutions, such as the Neuro® AI platform, advancements in drug discovery, and models for remote healthcare delivery. Additionally, Cognizant emphasized its partnerships with industry leaders and its commitment to sustainability and scalability. These initiatives position Cognizant as a transformative leader in the HLS sector, driving innovation and improving efficiency in healthcare delivery.
December, 2024
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Generative AI Idea to Action: Execution Strategies for Enterprises and Service Providers
This report examines the recent developments in the generative AI field following the introduction of ChatGPT, outlining essential strategies for businesses and service providers to optimize their gains. It delves into the tangible benefits generative AI offers to enterprises and providers, highlighting its transformative impact on outsourcing agreements. This includes novel pricing models and productivity enhancements in IT and BPO services. Furthermore, the report identifies potential opportunities for service providers tailored to the specific needs of enterprises.
September, 2023
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AWS Bets on Model Flexibility and Hardware Efficiency for a Distinctive Generative AI Advantage
Major hyperscalers, including Microsoft, Google, and AWS, have embraced generative AI, offering foundation models and proprietary software and hardware accelerators. However, as the generative AI landscape continues to evolve, establishing a unique selling proposition has become challenging. Customers, too, are facing a dilemma in choosing generative AI vendors. AWS stands out strategically in this landscape where differentiation is becoming increasingly elusive, offering Amazon Bedrock’s extensive flexibility in model selection and making substantial investments in purpose-specific AI hardware such as AWS Trainium and AWS Graviton.
February, 2024
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Cybersecurity in the Era of Robotics
Recent advances in AI have led to the development of specialized robots that can perform tasks previously thought to be exclusive to humans, including visual perception, speech recognition, and decision-making. However, as the world prepares for a deluge of humanoids, the wide adoption of robots presents unique cybersecurity threats, from data interception to device hijacking. Many are due to a lack of native cybersecurity features in robotic equipment and related technologies, such as the IoT. Hence, to fully capitalize on the potential of robotics, government, industry, and academia are collaborating to strengthen security in every robotic development and deployment area.
September, 2024
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Applied AI Services 2022–2023 RadarView™
The Applied AI Services 2022–2023 RadarView™ assists organizations in identifying strategic partners for AI by offering detailed capability and experience analyses of service providers. It provides a 360-degree view of key AI service providers across practice maturity, partner ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right AI and analytics services partner. The 61-page report also highlights top market trends in the AI space and Avasant’s viewpoint.
May, 2023
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Generative AI Gold Rush: Mitigating the Risks
While generative AI has captured widespread attention, its uptake has been relatively sluggish due to the pressing concerns surrounding intellectual property rights, data privacy, ethical biases, hallucinations, and environmental vulnerabilities. This whitepaper delves into the imperative enterprise strategy of deploying generative AI with comprehensive safeguards. It also highlights the endeavors of technology companies and governments to establish robust guardrails for generative AI, thus enabling responsible and secure integration. By proactively addressing these critical challenges, organizations can effectively harness the power of generative AI while mitigating its potential risks.
September, 2023
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Revenue Cycle Management (RCM) Business Process Transformation 2024 RadarView™
The Revenue Cycle Management (RCM) Business Process Transformation 2024 RadarView™ assists organizations in identifying strategic partners for RCM services by offering detailed capability and experience analyses of service providers in this space. It provides a 360-degree view of the service providers across practice maturity, domain ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right RCM services partner. The 66-page report highlights top supply-side trends in the RCM services space and Avasant’s viewpoint.
September, 2024
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Internet of Things Services 2023 RadarView™
The Internet of Things Services 2023 RadarView™ assists organizations in identifying strategic partners for IoT platforms and services implementation by featuring detailed capability and experience analyses for leading service providers. It provides a 360-degree view of key service providers for IoT services across practice maturity, partner ecosystem, and investments and innovations, thus supporting enterprises in identifying the right transformation partner. The 71-page report also highlights top supply-side trends in the IoT space and Avasant’s viewpoint.
May, 2023
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Generative AI: A Catalyst for Transforming the Manufacturing Industry
Generative AI is reshaping the future of AI and gaining momentum across various industries, including manufacturing. This whitepaper explores the use cases and enterprise applications of generative AI to utilize previously unexplored data sets and address industry challenges. It also highlights five key areas where generative AI is gaining traction within the manufacturing sector, such as accelerating product design, optimizing production processes, and so on. Finally, it discusses implementation challenges that hinder manufacturing enterprises from adopting generative AI at scale. By proactively investing in the right resources and addressing challenges, manufacturers can accelerate generative AI adoption while mitigating its potential risks.
September, 2023