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AI for Profit: How Generative AI is Reshaping Revenue Strategies
Most enterprises are leveraging generative AI for its exponential productivity gains across departments such as marketing, operations, and IT and for better alignment with user expectations. However, some innovative enterprises have initiated the use of generative AI to unlock new monetization prospects, allowing companies to strategically boost revenue streams and profitability. Enterprises across sectors such as high-tech, telecom, banking, and healthcare are leading the charge by introducing generative AI-powered solutions and services or adding new features as a service with a focus on policy, people, and partnerships. This, in turn, is driving other organizations to seek similar monetization opportunities.
December, 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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GPT-4o: The Next Frontier of Generative AI
Since its inception in 2015, OpenAI has led the innovation in large language models, setting new AI standards with its GPT series. However, recent competition from Anthropic, Google, Meta, and Mistral introduced Gen AI models surpassing OpenAI in response speed, multilingual understanding, and multimodal processing. While OpenAI had these capabilities individually, they were scattered across multiple models. The launch of GPT-4o finally unified these features, delivering a comprehensive solution that harnesses the full spectrum of Gen AI capabilities.
May, 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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Applied AI Services: Building the AI Ecosystem for the Future
With advancements in the current AI landscape, enterprises are increasing their investments in new technologies such as generative AI, computer vision, and edge AI. Businesses across industries have realized the tremendous optimization opportunities AI brings and how it aids them in improving operational efficiency while ensuring sustainability. In addition, increasing regulation and compliance around AI systems and data use is helping companies use AI systems more ethically. Both demand- and supply-side trends are covered in Avasant’s Applied AI Services 2022–2023 Market Insights™ and Applied AI Services 2022–2023 RadarView™, respectively.
May, 2023
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Applied AI Services 2022–2023 Market Insights™
The Applied AI Services 2022–2023 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact in the future for any applied AI projects. The report also highlights key challenges that enterprises face today.
May, 2023
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