Sustainability and resilient business operations are the key focus areas for enterprises as they work to overcome pandemic-driven challenges. They have doubled down their investments in digitalization, with connected supply chain being a key focus area. Firms are leveraging Internet of Things (IoT), along with next-generation technologies such as Artificial Intelligence (AI) / Machine Learning (ML), blockchain, and edge computing, to enable real-time decision-making for clients. Increasingly, they are partnering with IT service providers, supply chain specialists, as well as technology players to leverage their IoT-based supply chain solutions. In this research, we present assessments of solution providers featured on Everest Group’s IoT Supply Chain Solutions PEAK Matrix®. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2021, interactions with leading IoT solution and service providers, client reference checks, and an ongoing analysis of the IoT solutions and services market Contents This report features 11 IoT solution provider, each of which includes: Everest Group’s IoT supply chain solutions PEAK Matrix® evaluation of 11 IoT supply chain vendors Detailed profiles of the solution providers, along with their key strengths and limitations An overview of the providers’ offerings, including vision, product capabilities, adoption across industries and geographies, case studies, partnerships, and investments Membership(s) Digital Services Sourcing and Vendor Management

Sustainability and resilient business operations have been the key focus areas for enterprises as they seek to overcome the challenges created by the pandemic. To achieve this, firms have doubled down their investments in digitization with connected supply chain being a key target. Firms are focusing on leveraging IoT technology in confluence with the next-generation technologies, such as AI/ML, blockchain, and edge computing, to enable real-time decision making for clients. In this regard, firms are partnering with IT service providers, supply chain specialists as well as technology players to leverage their IoT based supply chain solutions. In this research, we present assessments of 11 solution providers featured on Everest Group’s IoT supply chain solutions PEAK Matrix®. The assessment is based on Everest Group’s annual RFI process for the calendar year 2021, interactions with leading IoT solution and service providers, client reference checks, and an ongoing analysis of the IoT solutions and services market. Scope All industries and geographies This research covers the following IoT solution providers / system integrators associated with IoT supply chain solutions: Bosch, FarEye, FourKites, Hitachi Vantara, Mindtree (NxT), NTT DATA, Project 44, Roambee, Samsara, Shippeo, and TCS Contents This report features 11 IoT solution provider, each of which includes: Everest Group’s IoT supply chain solutions PEAK Matrix® evaluation of 11 IoT supply chain vendors Characteristics of Leaders, Major Contenders, and Aspirants in the IoT supply chain solution landscape Analysis of the key strengths and limitations of each of the 11 IoT supply chain solutions featured in the assessment Membership(s) Digital Services Sourcing and Vendor Management

The current talent acquisition and development process is fraught with challenges – an increasing skills gap, rising hiring cost and time, difficulty in candidate verification, and high attrition. These problems are compounded by unequal talent demand across industries, restricted mobility due to the pandemic, and the emergence of newer working models, such as the gig economy. To overcome these challenges, enterprises must establish an intelligent talent model centered on human capital and supported by technology, data, processes, security, and compliance. The success of this future-of-work model will mandate collaboration between multiple stakeholders and effective technology leverage to assist HR in talent management efforts. A skills marketplace platform driven by technologies such as blockchain, Artificial Intelligence (AI), and Application Programming Interfaces (APIs), will help provide a flexible model of connecting enterprises with internal and external talent. The platform will assist enterprises, recruiters, and candidates alike by eliminating the intermediaries and siloes in the current talent management system, thereby streamlining and automating the candidate credentials authentication process. Scope All industries and geographies Contents This report studies: Current challenges in talent management The future of work and establishment of a skills marketplace Curating the ecosystem for a skills marketplace Key imperatives for stakeholders in their skills marketplace journeys Membership(s) Digital Services Sourcing and Vendor Management

Buildings and spaces are no longer physical locations housing people and objects. In fact, with the advent of digital, including technologies such as Internet of Things (IoT), Artificial Intelligence (AI), analytics, and the cloud, these areas having become “smart spaces,” offering improved efficiency, higher sustainability benefits, and enhanced stakeholder experience. Enterprises across verticals are looking to implement smart spaces with industry-agnostic use cases, such as smart lighting, smart workspaces, and smart energy management. To address enterprise requirements and concerns around complexity, talent management, and change management, service providers, solutions providers, IT specialists, and platform providers alike are investing in solutions as well as innovative engagement constructs. To unlock full value from these setups, enterprises need to transition from digitally enabled spaces to connected and autonomous smart spaces. It is thus imperative for firms to assess their existing maturity levels, invest across systems and networks at each stage of their journey, and determine the right vendor to partner with to reap maximum benefits from their investments. Scope All industries and geographies Contents This report studies: Smart spaces and the role of IoT in enabling them Key use cases and benefits across industries The evolving supply landscape for smart spaces Key imperatives for enterprises in their smart spaces journeys Membership(s) Digital Services Sourcing and Vendor Management

This Data Set is available only to IT Talent Excellence members. For information on membership, please contact us Talent is increasingly becoming the prime differentiator for firms as they seek to achieve competitive advantage. A successful talent strategy acts as a business enabler by improving firm performance and enhancing client satisfaction. However, firms often struggle to leverage their talent to achieve this. The lack of relevant IT talent and high demand for next-generation technology skills have been increasing the IT talent gap. As the war for talent intensifies, it is vital for enterprises to put in place a robust skilling strategy that can help them build the IT roles of tomorrow. This strategy will involve identifying the current gaps in their talent landscape, defining the roles of the future, and investing in the right initiatives to develop these roles. To assist firms in the first step in this journey – assess the currently available skills and identify competency gaps – Everest Group has tracked and categorized more than 800 contemporary and next-generation IT services skills. Enterprises can leverage this skills taxonomy report to determine their existing skills, identify competency gaps, and feed the inputs into their workforce planning strategies. Scope All industries and geographies Sources leveraged: Everest Group’s interaction with enterprises, recruitment agencies, online job portals, and academia to determine the key skills experiencing traction Contents In this report, we: Categorize more than 800 skills across key IT services towers – application services, infrastructure services, data services, automation services, and design and non-STEM services Classify these skills further as Basic, Emerging, and Specialist, based on the extent of demand-supply gap Membership(s) IT Talent Excellence

Recently, AI has become the bedrock of business transformation for enterprises. The technology is increasingly being seen as a business enabler and pertinent investment in helping firms maneuver and reverse the COVID-19 pandemic’s impact. However, challenges such as the lack of skilled AI talent, increasing time and effort in scaling AI implementation, and rising privacy concerns and regulatory impositions, are impeding organizations’ AI vision. Machine Learning Operations (MLOps), a confluence of machine learning and IT operations based on the concept of DevOps, is emerging as a panacea for enterprises in this scenario. MLOps, a set of practices aimed at streamlining ML life-cycle management, aims to enhance collaboration among data scientists and operations teams, thereby accelerating the scaling of AI. To address enterprise concerns around MLOps, multiple tools and platforms have also emerged across data management, modeling, and model deployment and monitoring. As enterprises embark on their MLOps journeys, it will be imperative for them to assess their existing maturity levels, develop hybrid teams, determine the KPIs required to assess the model, and ensure governance and compliance with industry regulations. Scope All industries and geographies Contents: This report studies: Challenges faced by enterprises in scaling their AI implementations Introduction to Machine Learning Operations (MLOps) Key benefits of MLOps The MLOps ecosystem, including tools and platforms across the value chain Key imperatives for enterprises in their MLOps journeys Membership(s) Digital Services Sourcing and Vendor Management

Enterprises have long been investing in the MarTech landscape to provide better customer experiences. However, the evolving MarTech landscape has also resulted in multiple challenges such as access to data, complexity, difficulty in integration, and talent gap. To overcome these challenges and assist enterprises in their marketing initiatives, Customer Data Platforms (CDP) are emerging as key solutions. Recognizing this, multiple startups have come up, aiming to differentiate themselves from the clutter by leveraging next-generation technologies such as Artificial Intelligence (AI) across the CDP value chain. Moreover, the recent spate of acquisitions is driving home the relevance of startups in this landscape. In this report, we study the CDP market trends and present the assessment of startups playing a key role in the CDP landscape; primarily focused on their innovation, growth story, and the impact created in the market. The report features the following 15 startups: 6Sense Insights, Inc., ActionIQ, Inc., Amperity, BlueConic, Inc., Blueshift, CleverTap, CrossEngage, Leadspace, Lytics, mParticle, Inc., NGDATA, Redpoint Global, Simon Data, Inc., Tealium, Zylotech Scope All industries and geographies Contents In this report, we: Outline the MarTech landscape and delve into how customer data platform aims to overcome these challenges Lay out the enterprise adoption of CDP and key trends across industries Discuss investor confidence and M&A activity in the CDP landscape List the top 15 CDP startups playing a key role in this space Membership(s) Data & AnalyticsDigital Services Sourcing and Vendor Management

Artificial Intelligence (AI) adoption has been on the rise, with the technology increasingly becoming synonymous with digital transformation. While the transition from Proof of Concepts (POCs) to production was already under way, the pandemic further accelerated this shift. A new set of use cases, such as touchless AI operations, social distancing solutions, and behavior drift analysis, have further increased enterprise spend on AI. However, as enterprises aim to scale the technology, they are presented with numerous challenges. A burgeoning skills gap, the lack of proven RoI, concerns around privacy and regulations, and the black box nature of the technology act as journey impediments. Among all, talent continues to remain the key challenge for firms. To overcome the expanding talent gap, enterprises need to invest in democratizing AI, ensuring that the technology is accessible to all. Organizations also need to focus on contextualization, change management, and governance to ensure responsible and successful democratization. Scope All industries and geographies Contents This report assesses AI adoption levels among enterprises, outlining their spend by geography, industry, and organization function. The report also highlights the various challenges enterprises face in their AI adoption journeys, with talent availability emerging as the primary hurdle in scaling AI initiatives. We recommend the democratization of AI as a means to mitigate the AI talent gap and provide a roadmap to achieve this democratization. Membership(s) Digital Services Data & Analytics Sourcing and Vendor Management

As AI’s business impact becomes clear, enterprises are accelerating AI adoption to improve efficiencies and customer experience. To assist enterprises in their journeys and ensure faster time-to-market, service providers are taking a platform-led approach, developing vertical-specific accelerators, and investing in in-house training and partnerships to strengthen their talent pool. Providers are also foraying into emerging themes such as MLOps, AIOps, and explainable AI to improve the value delivered from AI projects and differentiate themselves from peers. In this research, we present detailed profiles and assessments of 21 IT service providers featured on Everest Group’s AI Services PEAK Matrix®. Each profile provides a detailed picture of the provider’s service focus, key Intellectual Property (IP) / solutions, and domain investments, as well as case studies. The assessment is based on Everest Group’s annual RFI process for the calendar year 2020, interactions with leading AI service providers, client reference checks, and an ongoing analysis of the AI services market. Scope This research covers the following IT service providers / system integrators associated with AI services: Accenture, Atos, Capgemini, Coforge, Cognizant, Deloitte, DMI, DXC Technology, Genpact, HCL Technologies, IBM, Infosys, LTI, Mphasis, NTT DATA, Stefanini, TCS, Tech Mahindra, Virtusa, Wipro, and Zensar. Contents This report features 21 IT service provider profiles, each of which includes: An overview of the provider’s AI services business and offerings – vision, scale, and extent of adoption of its AI services across enterprise segments and geographies Assessment and details of the provider’s AI services delivery capabilities, domain investments, key solutions, and partnerships Detailed profiles of 21 AI service providers, along with their strengths and areas of improvement Membership(s) Data & AnalyticsDigital Services Sourcing and Vendor Management

As the business impact of AI becomes clearer, enterprises are accelerating their AI adoption to improve efficiencies and ensure a better customer experience. To assist enterprises in this journey and ensure faster time-to-market, service providers are taking a platform-led approach, developing vertical-specific accelerators and investing in in-house training and partnerships to strengthen their talent pool. Providers are also foraying into emerging themes such as MLOps, AIOps, and explainable AI to improve the value delivered from AI projects and differentiate themselves from peers. In this research, we present detailed profiles and assessments of 21 IT service providers featured on Everest Group’s AI Services PEAK Matrix®. Each profile provides a comprehensive picture of the service provider’s service focus, key Intellectual Property (IP) / solutions, and domain investments, as well as case studies. The assessment is based on Everest Group’s annual RFI process for the calendar year 2020, interactions with leading AI service providers, client reference checks, and an ongoing analysis of the AI services market. Scope This research covers the following IT service providers / system integrators associated with AI services: Accenture, Atos, Capgemini, Coforge, Cognizant, Deloitte, DMI, DXC Technology, Genpact, HCL Technologies, IBM, Infosys, LTI, Mphasis, NTT DATA, Stefanini, TCS, Tech Mahindra, Virtusa, Wipro, and Zensar. Contents This report features 21 IT service provider profiles, each of which includes: An overview of the provider’s AI services business and offerings – vision, scale, and extent of adoption of its AI services across enterprise segments and geographies An assessment of the provider’s AI services delivery capabilities, domain investments, key solutions, and partnerships A detailed assessment of strengths and areas of improvement Membership(s) Data & AnalyticsDigital Services Sourcing and Vendor Management