-

Cloud Platforms 2023 Market Insights™
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.
October, 2023
-

Hardware is Eating the World: The New Core of the Gen AI Revolution
As AI advances toward Artificial General Intelligence (AGI), humanity faces a paradox: driving machines toward greater autonomy while striving to preserve their own dominance. Emerging signs of AI self-preservation and behavioral manipulation highlight potential existential risks. At the same time, humans pursue their own evolution—extending life through biotechnology, personalized medicine, and brain-machine interfaces. This whitepaper explores the converging trajectories of AI and human enhancement, examining how both paths redefine competitiveness, survival, and the future balance between man and machine.
September, 2025
-

Workday HCM Services 2025 RadarView™
The Workday HCM Services 2025 RadarView™ assists organizations in identifying strategic partners for Workday HCM adoption by offering detailed capability and experience analyses for service providers. It provides a 360-degree view of key Workday HCM service providers across practice maturity, partner ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right Workday HCM services partner. The 49-page report highlights top supply-side trends in the Workday HCM space and Avasant’s viewpoint.
September, 2025
-

Proactive Compliance Management in Life Sciences: Leveraging AI for Early Risk Detection
Life sciences organizations operate in some of the most stringent regulatory environments globally, governed by frameworks such as the FDA, EMA, cGMP, and GxP, as well as data integrity standards. Maintaining compliance is essential not only for regulatory approval but also for ensuring product quality, patient safety, and corporate reputation. Traditional compliance processes are often reactive, heavily manual, and data-fragmented—making it difficult to anticipate risks before they result in violations. Predictive identification of compliance risks, enabled by artificial intelligence (AI), offers a significant shift in approach. By leveraging historical audit and operational data, AI models can identify patterns and signals of potential noncompliance, enabling proactive intervention and continuous quality improvement.
December, 2025
-

Generative AI-based Security Tools are, in Effect, Fighting Fire with Fire
Following the cultural and technological explosion brought forth by the launch of OpenAI’s ChatGPT last fall, the security industry has seen enormous investment in technologies for large language models (LLMs), such as generative AI. While players like Google and Microsoft have launched new generative AI security products, IBM, CrowdStrike, and Tenable have integrated features into their existing products. Though each product has its own capabilities, the focal point is to automate threat hunting and prioritize breach alerts. However, the rise of generative AI also includes the opportunity for threat actors. It has potentially lowered the barrier of entry for cybercriminals to develop sophisticated business email compromise phishing campaigns, find and exploit zero-day vulnerabilities, probe for critical infrastructure, create and distribute malware, and much more.
November, 2023






