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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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Finding the Synergy Between AI Capabilities and Human Agents to Enhance Customer Experience
Enterprises are strategically aligning their priorities to emphasize customer experience while concurrently optimizing costs. This approach has fueled the surge in nearshore outsourcing, underpinned by considerations such as data security, cultural alignment, and the imperative for swifter response times. The increased usage of digital channels, coupled with the integration of generative AI and cloud-based solutions, signifies a paradigm shift in the contact center outsourcing landscape. This technology integration is poised to drive the growth of contact center services as organizations increasingly seek tailored solutions by leveraging data-driven insights to navigate the intricate dynamics of the contemporary business environment. Demand-side and supply-side trends are covered in our Contact Center Business Process Transformation 2023–2024 Market Insights™ and Contact Center Business Process Transformation 2023–2024 RadarView™, respectively.
January, 2024
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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
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Intelligent Automation Services: Intuitive Automation for Real-Time Decision-Making
Enterprises face challenges in extracting, organizing, and processing high volumes of unstructured data. However, the advancements in AI have significantly expanded the scope of automation by providing new capabilities such as deep learning and generative AI to automate complex, data-driven tasks with high accuracy. Cognitive bots can now process unstructured data, recognize patterns, and make more informed decisions regarding workflows previously considered too complex for automation. By leveraging automation technologies such as RPA, ML, process mining, and AI, organizations can unlock new levels of productivity, innovation, and growth for increasing customer satisfaction and revenue, and gaining a competitive advantage. These trends, and others, are covered in Avasant’s Intelligent Automation Services 2022–2023 RadarView™.
March, 2023
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Data and Cloud: The Silent Soldiers of the Gen AI Revolution
Generative AI is the talk of the town and there is a lot of hyperbole about its capabilities and use cases. However, the true value will be derived by organizations that are able to build the right data and cloud environments that can enable Gen AI applications. In this research byte, we explore the actual maturity of generative AI and what its foundational elements are. We also discuss how service providers need to focus on building services and offerings for helping their customers build the data and cloud environments required to derive Gen AI value. We highlight the efforts of one such service provider, Infosys, based on its recent annual conference, Americas Confluence 2023, held in September.
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
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Artificial Intelligence a Major Focus of Empowering Beyond Summit
Generative AI has caught everyone’s imagination as ChatGPT became the fastest adopted technology in history. In light of this, artificial intelligence will be one of the focuses of Avasant’s Empowering Beyond Summit 2023 (EBS23), which will feature inspiring keynotes, interactive panels, innovative demos, and more.
April, 2023
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Generative AI: The Next Pivotal Point for Productivity and Efficiency
Generative AI is more than a buzzword. It holds genuine transformational potential that resonates with senior executives and employees across industries. It sparks imagination and innovation by promising to automate tasks previously deemed impossible to replicate by machines. From generating human-like text and creative content to assisting in complex decision-making, generative AI drives a paradigm shift in how businesses operate. This transformative technology is not merely hype but a catalyst for redefining productivity and unleashing unprecedented opportunities for growth and efficiency.
October, 2023
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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-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
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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