How do you shift from where you are to what you want to become? How do you fill the gap?
Based on those strategic imperatives the gap between where you are now and where you need to be to achieve transformational growth is daunting.
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The Three Components Required for Transformational Growth
Growth Opportunities in Artificial Intelligence
Advisory Services
Adoption of Artificial Intelligence (AI) requires a deep understanding of technology, domain, and best practices in ‘Responsible AI’. Enterprises seek this expertise from technology providers, thereby creating an opportunity for vendors to offer advisory services. These services create new revenue opportunities and a means to enhance value for existing and potential customers.
Industry Use Case-Specific Solutions
As enterprises aim to leverage AI to support business functions, they seek plug and play solutions for faster deployment, rather than custom development. Technology providers with niche, function specific use cases that are well aligned to enterprise needs and support faster API based integration will have a competitive advantage to attract customers and drive growth.
System Integration and IT services
AI deployments require complex system integration capacities- from seamlessly integrating diverse hardware like sensors, cameras, and devices to software and technology platforms, creating significant opportunity for IT services providers with end-to-end deployment capabilities.
Data Management Platforms and Services
Data preparation is a critical step for leveraging the full potential of AI technologies. As organizations seek to integrate, clean, and leverage enterprise data, data integration and management services present substantial opportunities for technology service providers to provide innovative machine learning (ML) models and ensure ethical and secure deployments.
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Is your enterprise Artificial Intelligence ready?
What are the key growth opportunities across the ICT ecosystem?
Ethical Artificial Intelligence for enhancing customer value proposition
How is multi-modal Artificial Intelligence geared to create enhanced value?
Industry use cases for monetization of Artificial Intelligence opportunities
How can Artificial Intelligence enable future-ready telecom service providers?
Is your data strategy capable of supporting Artificial Intelligence deployment?
How is Artificial Intelligence transforming the data centre industry?
Which megatrends could shape the Artificial Intelligence landscape in 2024?
Assessing the criticality of Cloud Service Providers in the ecosystem
Growth for Leaders & Companies
Maximized through collaboration
Continuous flow of Growth Opportunities
Proven Best Practices
Optimised Customer Experience
Implementation Excellence
Industry Leadership
How to Find the Best-fit Growth Opportunities in the Era of AI?
From Growth Gap to Growth Pipeline: Democratizing Enterprise AI
Driving AI Success Through Collaborative Coopetition: Unlocking the Power of Partnerships
Scaling Up AI Deployments: Harnessing Opportunities Sparked by Growing AI Maturity
How to Find the Best-fit Growth Opportunities in the Era of AI?
From Insights to Action: Unleashing the Power of AI and Data Analytics
The proliferation of artificial intelligence (AI) and data analytics has triggered a transformative wave across multiple sectors, reshaping traditional business models and challenging companies to innovate and adapt swiftly or face the risk of failure. The ability to harness the power of data has become a crucial factor for enterprises to optimize customer experiences, maximize operational efficiencies, and establish a competitive edge. Information and communication technology (ICT) companies need to rapidly evolve to develop solid product differentiation based on domain expertise. With rising competitive intensity and geopolitical uncertainty, technology providers can no longer create and deliver value as standalone players. Are you ready to foster new strategic partnerships to create innovative AI solutions?
As ICT organizations grapple to embrace this new ecosystem, they face a complex landscape of disruptive technologies, changing customer expectations, and industry convergence. Moreover, emerging start-ups further aggravate the pressure on technology providers to hasten go-to-market times and develop differentiated value propositions. Amid this seismic change, the rise of one organization may come at the cost of another. Organizations that survive and thrive amid this transformation will be limited to those that can adapt with agility.
Unlocking the Potential of AI: Monetize Growth Opportunities across the AI Ecosystem
The increasing pervasiveness of AI use cases is creating significant growth opportunities. However, with transforming customer expectations and the evolving regulatory environment, it is imperative for all AI ecosystem participants—from technology companies and investors to regulatory bodies—to actively track and understand shifting business dynamics.
To keep up the AI momentum, technology providers will need to build compelling value propositions backed by strong growth strategies to monetize new opportunities and overhaul outdated operations. The question thus arises: Are you prepared to embrace the potential of AI and chart a bold new course with robust growth pipeline management?
Or
Do you find yourself among those companies that lack the flexibility to master this transformation?
Are You Ready to Evaluate Your AI Alignment and Transform Your Business?
To navigate evolving business ecosystems, companies in AI and data analytics must identify and overcome their growth gaps. The key to success is finding and prioritizing the right opportunities that align with your top growth priorities.
Frost & Sullivan has six decades of experience in analysing industry transformation and identifying innovative growth opportunities. Let us guide you through your transformation journey by working collaboratively with the ecosystem community of companies in your industry. Our transformation journey is fuelled by four powerful components, ensuring your success in navigating industry changes:
- Schedule a Growth Dialog with our team to dive deeper into transformational strategies and explore specific needs within your company.
- Become a Frost Growth Expert in your area of specialization and share your expertise and passion with the community through our Think Tanks.
- Join Frost & Sullivan’s Growth Council and gain access to think tanks focused on the transformational growth strategies for the AI and data analytics sector.
- Designate your company as a Company to Action to increase exposure to investors, new M&A opportunities, and other growth prospects for your business.
From Growth Gap to Growth Pipeline: Democratizing Enterprise AI
Igniting Transformation with the Power of AI
Artificial intelligence (AI) holds the potential to disrupt the way enterprises operate, create, and deliver value. Today, enterprises across industries have started adopting AI tools, solutions, and platforms to augment business growth, optimize operations, enhance customer experience, and personalize service portfolios. Further, global economic turmoil has accelerated the pace of digital transformation among organizations as they explore new ways to maximize value through AI.
As AI becomes a pillar of modern business architecture, enterprises are faced with the uphill task of overcoming challenges like multifaceted technology integrations, lack of data readiness, minimizing data disparity, eliminating security vulnerabilities, and navigating accessibility hurdles, while effectively providing a strong return on investment (ROI) on existing technology investments. This makes navigating the changing information and communication technologies (ICT) landscape increasingly complex.
As AI and data analytics continue to evolve, disruptive technologies that once only data scientists could understand and leverage are now paving the way for tailored AI solutions across multiple industries. Now, it is critical for businesses to adapt to this transformation because the lack of a cohesive and agile AI articulation strategy can impede large-scale AI deployments and intensify the struggle for sustainable growth.
Bridging the Growth Gap in AI
With the rise of Big Data, advanced algorithms, and computational power, the potential of AI is vast and promising. However, providers find themselves grappling with a significant gap between the total addressable
market (TAM) and the serviceable available market (SAM) in this domain. This contradictory gap between the TAM and SAM can be attributed to various factors — the complexity and costs involved in developing AI solutions, the limitations of legacy infrastructure, the availability of clean data for learning models, and dynamic regulatory landscapes. Closing this gap requires renewed collaboration and cooperation between the various entities in the AI and ICT ecosystem.
Providers that resist or overlook the power of AI may find themselves struggling to keep pace with their AI-empowered competitors, missing out on crucial opportunities, and eventually succumbing to the growth gap. This raises pertinent questions for different stakeholders.
How to Build Comprehensive AI Value Propositions
As the AI revolution continues to create headwinds, its potential impact on businesses, economies, and societies makes it a pivotal technology in the digital landscape of an enterprise. 
Further, the advent of multimodal AI, the proliferation of generative AI (GAI), advancing computer vision technologies, and evolving edge-to-cloud platforms is unleashing new prospects across multiple sectors and job 
functions. From industrial automation, streamlining operations, and enriching customer experience (CX) to customizing service portfolios, creating customer value, and establishing long-term strategic differentiation, AI is generating a pipeline of cross-industry growth opportunities for technology companies and service providers to bridge their growth gap.
Now, as AI becomes increasingly integrated into numerous sectors, the role of technology and network providers becomes crucial in shaping the future of CX and customer satisfaction. Further, with widespread technology implementation, failing to develop tailored AI strategies and solution portfolios that drive business value, ensure data readiness, and compliance for different customer segments can hinder growth on your AI journey.
The AI and Data Analytics Revolution: Is Your Business Ready for the Future
To navigate evolving business ecosystems, companies across the ICT continuum must identify and overcome crucial growth barriers. The key to success is prioritizing the opportunities that align with your growth vision and implementing the best-fit strategies. Frost & Sullivan has six decades of experience in connecting global mega trends, emerging technologies, and new business models to drive radical growth. We help companies identify, evaluate, and prioritize best-fit opportunities that empower them to thrive through change.
Let us guide you through your transformation journey by working collaboratively with the ecosystem community of companies in the AI and data analytics continuum. This journey is fuelled by four powerful components, ensuring your success in navigating industry changes:
• Schedule a Growth Dialog with our team to dive deeper into transformational strategies and explore specific needs within your company.
• Become a Frost Growth Expert in your area of specialization and share your expertise and passion with the community through our Think Tanks.
• Join Frost & Sullivan’s Growth Council and gain access to think tanks focused on transformational growth strategies for AI and Data Analytics.
• Designate your company as a Company to Action to increase exposure to investors, new M&A opportunities, and other growth prospects for your business.
Driving AI Success Through Collaborative Coopetition: Unlocking the Power of Partnerships
With breakthroughs in machine learning (ML), computer vision, deep learning, natural language processing (NLP), and robotics, the future of artificial intelligence (AI) brings with it the potential of increased automation, enhanced decision-making capabilities, and personalized customer experience (CX) across various industries. As the driving force behind innovation in Big Data, robotics, generative AI, and the Internet of Things (IoT), AI and data analytics is creating new opportunities for organizations to maximize operational efficiencies and build strategic differentiation. Now, over 43% of global enterprises are increasing their focus on data centricity to imbibe data readiness for the oncoming AI revolution. Further, with increasing AI democratization, industry incumbents can no longer operate in silos, as they feel the pressure to foster deep strategic partnerships and collaborations to create comprehensive solutions, deliver infrastructure services through new business models, and enhance customer value — Do you have a structured growth pipeline management system to identify and capitalize on the right AI growth opportunities?
Embracing New Realities of the AI Future
As access to AI becomes democratized and the global information and communication technology (ICT) ecosystem matures, seismic developments in AI are set to change the future of businesses and human-machine interaction. In particular, the following factors can determine AI success for enterprises, technology vendors, providers, and other stakeholders:
Collaborative Disruption: Driving Industry Transformation Leveraging AI
As AI becomes more integrated into businesses across industries, the collaborative role of technology providers, third-party vendors, and service providers becomes increasingly pivotal. Leveraging coopetition, these stakeholders can help businesses shape the future of CX in sectors like manufacturing, healthcare, utilities, mobility, banking and financial services (BFSI), and education. Moreover, with rapid advancements in AI technologies and the growing demand for personalized/customized solutions, there is a pressing need for AI providers to address the unique challenges and requirements of their customers with more agile and flexible solution portfolios.
This raises pertinent questions for ICT decision makers:
- AI technology vendors and service providers are scrambling to imbibe comprehensive data science capabilities and create platforms and solutions for effective AI deployments — Which strategic partnerships will help you enhance your service portfolios for seamless data integration, data analytics/ visualization, and real-time data management?
- As businesses grapple to extract value from data from different sources, new opportunities emerge in multimodal applications, data orchestration, data management platforms, and IT services — How will you evaluate the ROI potential of different growth opportunities to prioritize the best ones for your organization?
- Low AI readiness combined with the rising demand for AI capabilities necessitates robust advisory services to help businesses succeed on their AI adoption journeys. This implies that service providers must develop deep domain knowledge, expertise in AI compliance/regulatory frameworks, and technology capabilities backed by data management advisory services — Do you have a people-process-technology framework in place to capitalize on emerging consulting and advisory opportunities?
- Combining technology know-how, strategic partnerships, domain knowledge, and a customer-centric approach to assess key business requirements will be pivotal to driving innovation and monetizing AI opportunities — How will you leverage innovative business models and foster strategic alliances to supplement your AI growth pipelines?
Are You Ready to Evaluate Your AI Alignment and Transform Your Business?
To navigate evolving business ecosystems, companies across the ICT continuum must identify and overcome crucial growth barriers. The key to success is prioritizing the opportunities that align with your growth vision and implementing the best-fit strategies. Frost & Sullivan has six decades of experience in connecting global mega trends, emerging technologies, and new business models to drive radical growth. We help companies identify, evaluate, and prioritize best-fit opportunities that empower them to thrive through change.
Let us guide you through your transformation journey by working collaboratively with the ecosystem community of companies in the AI and Data Analytics continuum. This journey is fuelled by four powerful components, ensuring your success in navigating industry changes:
- Schedule a Growth Dialog with our team to dive deeper into transformational strategies and explore specific needs within your company.
- Become a Frost Growth Expert in your area of specialization and share your expertise and passion with the community through our Think Tanks.
- Join Frost & Sullivan’s Growth Council and gain access to think tanks focused on transformational growth strategies for AI and Data Analytics.
- Designate your company as Companies2Action to increase exposure to investors, new M&A opportunities, and other growth prospects for your business.
Scaling Up AI Deployments: Harnessing Opportunities Sparked by Growing AI Maturity
What Is the Current Status of AI Adoption among Enterprise Customers, and How Is This Driving New Growth Opportunities?
In the era of digital transformation, industries are undergoing a profound evolution driven by artificial intelligence (AI) and data analytics. Innovations and advancements in generative AI (GenAI), virtual assistants, machine learning (ML), hybrid clouds, predictive analytics, and natural language processing (NLP) are set to revolutionize industries by transforming manufacturing, automating workflows, personalizing services, enhancing customer experience (CX), and driving business growth. Further, as AI implementation in organizations shifts from the proof-of-concept stage to full-scale deployments, the failure to implement robust, enterprise-wide AI strategies can impede large scale implementations that unlock enterprise-wide value from the technology. This is intensifying the pressure on enterprises to tackle barriers like data readiness, legacy infrastructure limitations, complex technology integrations, data disparities, and regulatory compliance to reap the rewards of democratized AI.
While businesses realize the potential of AI, successful application to achieve desired business outcomes depends on several factors. Frost & Sullivan’s unique 4-stage AI maturity framework offers a structured approach for organizations to evaluate enterprise AI readiness. It also enables technology providers to identify new growth opportunities, enhance customer value, and assists end users in effectively navigating the dynamic AI opportunity landscape.
AI Demystified: Key AI Maturity Indicators
- Strategy and Roadmap Articulation: Indicates the preparedness of enterprises to articulate business goals, expected AI outcomes, and governance structures, along with leadership commitment and involvement of technology stakeholders to drive new initiatives.
- Data Readiness: Refers to the integration, standardization, and readiness of enterprise data to be leveraged for AI and ML deployments, while building data architectures that ensure data streamlining.
- Regulatory Compliance and Policy Alignment: Indicates an organization’s preparedness with respect to the policies/norms that need to be adhered to, thereby keeping pace with government regulations or other industry compliance standards.
- Technology Implementation: Considers the stage and the extent of AI deployment and infrastructure within an organization, with the end goal of ubiquitous AI implementation across multiple functions and applications.
Where does your organization stand in terms of AI maturity, and which strategies will help your teams scale AI implementation across different business functions?
Are Your Teams Equipped to Tackle the Complexities of AI Deployment?
Frost & Sullivan finds that though 97% of enterprises view AI and ML as important tools in helping them achieve their business goals, just 1% have achieved a ubiquitous level of AI maturity. As a result, providers are being pushed to capitalize on the opportunity to provide advisory services, support enterprise-wide AI adoption, and develop compelling value propositions that focus on data security and industry knowledge. Today, the following emerge as key customer/IT decision maker (ITDM) concerns about adopting AI across business processes:
- Data privacy and security
- Quantifying return on investment (ROI)
- Defining ethical AI practices
This implies that as providers democratize AI, they face the imperative of looking beyond their core offerings to strengthen integration and data migration support services, develop comprehensive advisory capabilities/IT services, and align growth strategies with rapidly transforming technology landscapes – How is your leadership committee implementing best practices to capitalize on emerging AI applications across different industries?
Capitalizing on Emerging Growth Opportunities
Today, AI and advanced analytics are bringing about a new era of data-driven decision making and automation. Chatbots, for instance, are transforming customer service by providing instant responses and freeing up human agents for more complex tasks. AI algorithms are seamlessly analyzing massive datasets with unprecedented accuracy, uncovering hidden patterns and generating valuable insights that were previously impossible. Further, AI is also revolutionizing network management, optimizing resource allocation, preventing network failures, and enhancing security through advanced threat detection. This is unleashing the following growth opportunities for ICT providers to boost operational efficiencies, catalyze creativity and innovation, and create new revenue streams:
- GenAI Deployment Services
- AI Implementation Platforms
- System Integration Services
- ICT Advisory Services
- Data Readiness and Management
- Applied AI Applications
- Embracing Responsible AI
- Multimodal Foundational Models
and more.
Has your growth team identified the most lucrative opportunities and best practices that will help your company thrive amid the ongoing AI revolution?
About Frost & Sullivan
Frost & Sullivan, the growth pipeline company, enables clients to accelerate growth and achieve best-in-class industry positioning in terms of innovation and leadership. The company’s ‘Growth Pipeline-as-a-Service’ provides corporate management teams with transformational strategies and best-practice models that catalyze growth opportunity generation, evaluation, and implementation. Let us coach you on your transformational journey, while we actively support you in fostering collaborative initiatives within the global AI and data analytics ecosystem. This journey is fueled by four powerful components, ensuring your success in navigating dynamic business and industry landscapes.
- Schedule a Growth Dialog with our team to dive deeper into transformational strategies and explore specific needs within your company.
- Become a Frost Growth Expert in your area of specialization and share your expertise and passion with the community through our think tanks.
- Join Frost & Sullivan’s Growth Council and become an integral member of a dynamic community focused on identifying growth opportunities and addressing critical challenges that influence industries.
- Designate your company as a Companies to Action to maximize your exposure to investors, new M&A opportunities, and other growth prospects.
