The integration of generative artificial intelligence (GenAI) with disruptive technologies like machine learning (ML), robotics, natural language processing (NLP), and edge computing is transforming conventional data management and processing, enabling machines to generate content, images, and even code. This implies that to support the training/deployment of GenAI models and facilitate personalized customer experience (CX), AI providers are being pushed to invest in scalable infrastructure and verticalized large language models (LLMs) with multimodal capabilities. Further, handling the massive data volumes required for GenAI is necessitating robust data management, enhanced cybersecurity measures, and ethical AI frameworks that mitigate biases and maximize transparency. By adapting to these headwinds, technology providers can effectively leverage the potential of GenAI to catalyze innovation across industries.
Frost & Sullivan’s recent Artificial Intelligence (AI) Think Tank delved into the realm of Growth Opportunities in Artificial Intelligence (AI): How is GenAI Disrupting the ICT Ecosystem and Unleashing New Opportunities? This engaging discussion shed light on transformative megatrends, industry challenges, and best practices in GenAI to help providers supercharge growth.
Here, the following growth experts collaborated to share their views on disruptive technologies, transformative megatrends, and new business models revolutionizing the future of AI: Prem Naraindas, Founder and CEO at Katonic AI; Nishchal Khorana, Vice President and Growth Expert, ICT at Frost & Sullivan; and Kiran Kumar, Research Director and Growth Expert, ICT at Frost & Sullivan.
Gain valuable perspectives from these experts by clicking here to access the recorded session of this Think Tank.
- Navigating the GenAI Disruption: Enterprises are witnessing explosive growth in data volume (approximately 50% in just the past 12 months). Since the key strength of GenAI is the ability to make efficient use of this data, organizations have new opportunities to capture underlying data patterns, generate synthetic data, create more diverse data sets for training ML models, improve knowledge management, and enable personalization – How are your growth strategists identifying, evaluating, and integrating disruptive technologies to fully capitalize on the GenAI revolution?
- Overcoming Growth Barriers in AI: Enterprises face challenges with data privacy, security, governance, and assessing return on investment (ROI) on their AI deployments. Consequently, providers feel the pressure to offer comprehensive advisory services, facilitate enterprise-wide AI adoption, and develop compelling value propositions that focus on data efficiency, security, compliance, industry knowledge, and responsible AI – Are your teams equipped with the analytical tools and frameworks to thwart implementation challenges on your organization’s AI journey?
- Capitalizing on Best Practices in AI: To accelerate AI deployment, enterprises are increasingly prioritizing open-source models that enable more flexibility, control, and speed of inference. But this calls for complex, resource intensive management and infrastructure. As a result, providers are working with a diverse ecosystem of partners and technologies, to deliver full stack, turnkey AI solutions to their enterprise customers – How is your leadership committee implementing best practices to capitalize on emerging AI applications across different industries?
- Harnessing the Growth Potential of an Evolving GenAI Ecosystem: The GenAI provider ecosystem is divided into three main areas- data management platforms which include data warehousing, preparation, engineering, governance, ML model training, and deployment; core technologies which encompass NLP, voice, speech-to-text, computer vision, deep learning, and LLM; and functional applications comprising of vendors for multimodal/unimodal solutions for various industries – Do you have the right growth processes to capitalize on the benefits of strategic partnerships with various ecosystem players in AI?
- Establishing Competitive Differentiation Amid Geopolitical Chaos: GenAI technology vendors and service providers are witnessing increased competitive intensity, given the high degree of focus on launching new offerings by leading companies and start-ups across the ICT ecosystem. As a result, providers feel the pressure to build niche, industry-specific solutions that will help them create unique competitive advantages in the long run – Has your growth team identified the most lucrative opportunities that will help your company thrive amid the ongoing AI revolution?
“GenAI will be disruptive for several reasons, including its constantly expanding capabilities and applications, broader accessibility, and ability to seamlessly integrate with other technologies, such as machine learning and robotics. This convergence will create even more powerful applications.”
– Kiran Kumar, Research Director and Growth Expert, ICT at Frost & Sullivan.
