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Can Amazon Q Be to Business Users and Developers What Q Is to Bond?
Amazon Q, introduced during AWS re:Invent 2023 in Las Vegas, is a corporate chatbot designed to automate content search and creation and provide summaries. It aids in handling enterprise knowledge bases and repositories while automating tasks such as ticket filing and case creation using generative AI and natural language processing, among others. This touches a variety of business user personas, including knowledge workers, data and analytics personnel, and call center managers and employees. It helps developers in debugging and enhancing code for improved performance. By automating alterations to source code, it significantly reduces the workload for developers. Although a late entrant, Amazon Q seems up for the challenge.
December, 2023
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Digital Masters Process Transformation 2024 Market Insights™
The Digital Masters Process Transformation 2024 Market Insights™ assists enterprises in identifying important demand-side trends that are expected to have a long-term impact on any process transformation engagement. The report also highlights key challenges that enterprises face today.
July, 2024
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Digital Workplace Services 2024 Market Insights™
The Digital Workplace Services 2024 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any digital workplace services project. The report also highlights key challenges that enterprises face today.
September, 2024
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Digital CX Services 2024 Market Insights™
The Digital CX Services 2024 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any digital CX services project. The report also highlights key implementation challenges that enterprises face today.
October, 2024
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Intelligent Document Processing Platforms 2024–2025 Market Insights™
The Intelligent Document Processing Platforms 2024–2025 Market Insights™ assists organizations in identifying important demand-side trends for navigating the document processing landscape and achieving operational efficiency. The report also highlights the key challenges enterprises face today in this space.
December, 2024
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Business Process Services Pricing and Solution Trends: H1 2023
In this report, Avasant provides key information on pricing and solution trends for the Business Process Services industry from the past 12 months. The report covers various aspects, including market demand and provider solution trends, commercial engagement trends, emerging location trends, and pricing and staffing trends in the space. The geographic coverage is global, with a large share of data points from North America. The report builds on insights gathered through our enterprise interactions, ongoing market research, data collection, and the AvaMark™ Price Benchmarking database.
June, 2023
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Application Modernization Services 2023 Market Insights™
The Application Modernization Services 2023 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any application modernization projects. The report also highlights key application modernization challenges that enterprises face today.
August, 2023
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Risk and Compliance Services 2023 RadarView™
The Risk and Compliance Services 2023 RadarView™ assists organizations in identifying strategic partners for risk and compliance services by offering detailed capability and experience analyses for service providers. It provides a 360-degree view of key service providers across practice maturity, partner ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right technology partner. The 59-page report highlights top supply-side trends in the risk and compliance space and Avasant’s viewpoint on them.
October, 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