Areas of Interest
Content Type
Industries
- Aerospace and defense
- Banking, Financial Services, and Insurance
- Energy and Resources
- Federal Government
- Healthcare and life sciences
- High-tech and telecommunications
- Higher Education
- Media and entertainment
- Private equity
- Public Sector
- Retail and manufacturing
- Social Impact Institutions
- Travel and transportation
Technologies
- Artificial Intelligence
- Automation
- Blockchain
- Business and data analytics
- Cloud
- Customer relationship management (CRM)
- Cybersecurity
- Digital Services
- Enterprise resource planning (ERP)
- Human capital management (HCM)
- Internet Of Things
- Machine Learning
- Networking
- Supply chain management (SCM)
- Virtual reality/Augmented reality
Areas of Interest
Latest Reports
Digging into the Future: Tech Innovations Transforming Earthworks
The construction industry is undergoing a seismic shift, with technology driving safer, more efficient, and compliant operations. Nowhere is this transformation more evident than in earthworks. Once a labor-intensive, risk-prone process, earthworks is now being redefined through innovations like IoT, automation, and intelligent systems. These advancements are delivering measurable improvements, reducing costs, and ensuring compliance while laying the groundwork for a greener, smarter future.
Adopting Generative AI Means Adopting Opportunity
Once a niche technology, generative AI is rapidly becoming a mainstream tool, offering unprecedented opportunities for innovation. Rooted in technology dating back to the 1950s, it has the hallmarks of a solid foundation, and companies are seizing the opportunity while it is still advantageous.
Not Quite Physical, Not Quite Digital – The New Retail Trend is Phygital
The nature of retail has changed. The Covid-19 pandemic marked a turning point, propelling forward the transition to e-commerce. Retail now exists in a middle ground, not entirely physical, not entirely digital, but a combination: phygital.
Multicloud and AI: Enabling Intelligent Workflows across Diverse Cloud Environments
Enterprises are adopting multicloud environments and AI-driven automation to enhance operational efficiency and flexibility. As multicloud adoption grows, challenges such as cost inefficiencies, migration complexities, and integration issues persist. Addressing these challenges, Oracle announced at Oracle CloudWorld 2024 the integration of its Exadata database with AWS, enabling seamless multicloud connectivity, improved latency, and optimized costs. Oracle also introduced over 50 role-based AI agents in its Fusion Cloud Applications Suite to automate repetitive tasks using AI capabilities that adapt to changes and improve over time. These initiatives align with industry efforts by SAP, Microsoft, and Workday in leveraging generative AI to streamline sales, service, finance, and supply chain management functions.
Meta’s Mixed Reality Play: Consumerization Paves Way for Enterprise Use Cases
Ray-Ban Stories, a collaboration between Meta (formerly Facebook) and Ray-Ban, represents a blend of classic eyewear design and cutting-edge technology. These smart glasses allow users to capture photos and videos, listen to music, take calls, send messages, and interact with social media, all while maintaining a stylish appearance.
AI in Media: Balancing Innovation with Ethical Concerns
Concerns about artificial intelligence’s (AI) potential to displace jobs and negatively impact creative endeavors are particularly prevalent in the media and entertainment industries. In May, Avasant’s Empowering Beyond Summit included a panel titled, “Reality Check: How can media survive the coming disruption?” Avasant Managing Partner Robert Joslin led Fay Wells, a technology and media entertainment executive; Bharat Krish, CPO of Newsweek; Ghalib Kassam, CIO of the LA Times; and Chad Hamilton, VP of Fremantle, in conversation about AI and the media. They spoke about the current capabilities of AI in content creation, the ethical concerns it raises, and the implications for human creativity.
Enabling Data-driven Autonomous Decision-making with Generative AI in ERP
Enterprises leverage cloud ERP systems to automate manual workflows, enhance financial reporting, optimize supply chains, and enable real-time data sharing across departments. By integrating generative AI, these systems deliver contextual insights through prescriptive financial forecasts, supply chain disruption alerts, and recommendations derived from both ERP modules and external data sources. Cloud ERP vendors are advancing automation with agentic AI solutions, enabling autonomous handling of customer queries, prioritization of sales leads, and resolution of transaction anomalies. Additionally, they are introducing ESG reporting capabilities for real-time emissions tracking, leveraging advanced analytics and integrated data from multiple entities.
Cloud ERP Suites 2024 RadarView™
The Cloud ERP Suites 2024 RadarView™ assists organizations in identifying strategic partners for ERP adoption by providing a detailed analysis of key cloud ERP vendors across product maturity, enterprise adaptability, and innovation road map. The 40-page report highlights top supply-side trends in the cloud ERP suites space and Avasant’s viewpoint.
Cloud ERP Suites 2024 Market Insights™
The Cloud ERP Suites 2024 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any ERP adoption project. It also provides insights into the key use cases addressed by enterprises across various industries.
Automation to Autonomy: How Synchronous AI Agents are Shaping the Future of Business Operations
Over the last three decades, automation has evolved from back-office to middle-office and now front-office tasks, with each step driven by advancements in AI. We now stand on the threshold of a new era: synchronous AI agents. These specialized agents can independently manage end-to-end execution of complex processes, limiting human involvement to governance and key approvals. The automation fabrics of the future will likely combine RPA, AI copilots, and synchronous AI agents, coexisting and complementing each other. This research byte explores the industry’s shift toward synchronous AI agents, the changing market landscape, and key enterprise considerations for adopting this transformative technology.
