Catch Amardeep Modi, Vice President at Everest Group as he joins an expert panel to discuss how to identify challenges & opportunities in intelligent process automation and how organizations can optimize their workforce productivity & efficiency to gain immense value out of the application of diverse robotic process automation (RPA) tools & technologies.
They will discuss:
Economic changes have taken the global market by storm, and Europe is no exception. In this webinar, our analysts will discuss changes in enterprise expectations and the defining characteristics of an outsourcing deal in 2023 in Europe.
Join us to learn what an ideal outsourcing deal in Europe should entail in terms of offshoring, automation, pricing and cost savings, engagement models, and contract terms.
Our speakers will discuss:
Who should attend?
Data analytics and automation are becoming an integral part of business process management (BPM) offerings. BPM firms are bagging more cost-saving deals as clients prioritize on cost-cutting and beating inflation.
Budgets in most industrial sectors are up slightly over 2022, but many firms have been unable to spend their full budgets last year. “Hence, we expect to see a growth of 5-7% for the industry over last year. This is down from the 12% of 2022 but still healthy,” said Peter Bendor-Samuel, CEO of research firm Everest Group.
Intelligent Automation
Intelligent Automation
ChatGPT, the advanced Artificial Intelligence (AI) chatbot that’s taken the world by storm, can potentially accelerate various stages in the Software Development Lifecycle (SDLC), from gathering requirements to design and testing, and also enhance developers’ productivity, among other benefits. But it still has limitations. Read on to learn more.
ChatGPT made headlines when it reached 1 million users in just five days after being unveiled in November 2022. Not only was the tech community awed, but it also has interested a wider audience, from students to industry veterans, and attracted more than 100 million users by the end of January 2023.
ChatGPT and other AI chatbots, such as DALL-E, are poised to radically disrupt multiple professions, including education and healthcare. In our ongoing coverage of this trending topic, we’ll explore how these recent developments may rapidly advance the application development process.
ChatGPT (Chat Generative Pre-Trained Transformer) is a chatbot built by AI firm OpenAI. It is based on Generative Pre-Trained Transformer (GPT-3) architecture, a neural network Machine Learning (ML) model that generates human-like responses to natural language text inputs. Its ability to converse like a human, answer follow-up queries, and reject inappropriate queries makes it more special than its predecessors. Its capabilities include language translation, text summarization, and text generation.
We tried our hands on ChatGPT and asked it to write a blog on itself, and the results amazed us. See the exhibit below for the blog that ChatGPT generated.
Next, let’s explore in more detail how ChatGPT could be embedded in the Software Development Lifecycle (SDLC) to create applications and the associated benefits.
While low-code/no-code and AI-assisted application development made leaps and bounds in this field, ChatGPT has the potential to step up the game even further. This potent AI tool can be used to accelerate different processes at various phases of the SDLC, leading to faster development cycles, enhanced productivity of developers, and quicker value delivery to enterprises.
Here are the potential benefits of each phase:
Requirements gathering: ChatGPT can significantly simplify the requirements gathering phase by building quick prototypes of complex applications. It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase
Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications. In addition to providing user interface (UI) templates for common use cases, it also may eventually be deployed to ensure that the design of a given application meets regulatory criteria such as accessibility
Build: ChatGPT has the capability to generate code in different languages. It could be used to supplement developers by writing small components of code, thus enhancing the productivity of developers and software quality. It even can enable citizen developers to write code without the knowledge of programming language
Test: ChatGPT has a major role in the testing phase. It can be used to generate various test cases and to test the application just by giving prompts in natural language. It can be leveraged to fix any vulnerabilities that could be identified through processes such as Dynamic Code Analysis (DCA) and perform chaos testing to simulate worst-case scenarios to test the integrity of the application in a faster and cost-effective way.
Maintenance: ChatGPT can significantly improve First Contact Resolution (FCR) by helping clients with basic queries. In the process, it ensures that issue resolution times are significantly reduced while also freeing up service personnel to focus their attention selectively on more complex cases.
While ChatGPT has an important role to play in automating more cognitive tasks in the SDLC, users must be aware that security and privacy concerns with the current version still need to be properly addressed.
Now let’s cover a few issues with the tool.
ChatGPT is seeing rampant adoption among the developer community, and as it gains further traction, enterprises need to ensure suitable governance models are in place. Service providers need to collaborate with tech players like OpenAI and DeepMind to proactively shape the market and build capabilities for efficient application development.
As details unfold on how this technology will revolutionize the application development process, enterprises and service providers need to closely monitor this space and make proactive investments – clearly, the cost of missing out is too great.
For our other recent blogs on how ChatGPT will impact various industry sectors, see Can BFSI Benefit from an Intelligent Conversation Friend in the Long Term and ChatGPT Trends – A Bot’s Perspective on How the Promising Technology will Impact BPS.
We’ll investigate the implications of ChatGPT for the technology services industry in more detail in a follow-up blog.
To discuss how ChatGPT will impact the application development process, please reach out to [email protected], [email protected], or [email protected].
With the launch of 5G in India last month, the 2022 Indian Mobile Congress (IMC) demonstrated many exciting possibilities for the high-speed network to deliver innovative use cases in India. Beyond the technology benefits, 5G can be leveraged to solve efficiency and optimization challenges and enable future growth for enterprises. To learn more about 5G business opportunities, read on.
India embarked on its “new digital universe” with the official unveiling of 5G technology by Prime Minister Narendra Modi at the sixth edition of the Indian Mobile Congress (IMC), Oct. 1-4 in Pragati Maidan in New Delhi. In this blog, we share some of our key takeaways from the event organized by the Cellular Operators Association of India (COAI) and India’s Department of Telecommunications (DoT).
The evolution of connectivity technologies with 5G as a platform for boosting productivity and innovation was among the key themes that emerged from this India mobile conference that drew an enthusiastic response from technology service and infrastructure providers, manufacturers, industry and government officials, academia, and the public.
While the 5G benefits of increased connectivity speed, low latency, and improved reliability are now well known, the India mobile conference highlighted several 5G-enabling technologies. These include carrier integrated 5G network (low- and mid-band); open-source technologies and architectures (O-RAN); network cloudification through Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and Multi-Access Edge Computing (MEC); small cell 5G architecture, private 5G, network slicing, and Fixed Wireless Access (FWA).
An interesting highlight of the event was the increased emphasis on showcasing the applications of 5G. Among the possible use cases spotlighted were massive and critical Internet of Things (IoT), machine-to-machine communication, collaborative robotics, autonomous driving, vehicle edge computing, metaverse and Augmented Reality (AR) powered collaboration, predictive maintenance, remote surgery, real-time analytics and decision making, cloud-based gaming, smart cities solutions, intelligent supply chain and logistics, and smart retail.
With 5G resolving connectivity problems and other building blocks like cloud, Artificial Intelligence and Machine Learning (AI/ML), and IoT now mainstream, enterprises have all the needed elements to optimize and modernize their technology landscape and capture the next wave of growth opportunities.
While 5G network equipment and components are generally expected to consume more power than the previous generation, recent equipment and software innovations aim to make products as energy efficient as possible.
Some examples of the energy-efficient technology presented at IMC included lightweight massive Multiple-Input Multiple-Output (MIMO) radios and software solutions such as traffic-aware dynamic network management solutions for energy monitoring and management that provide 5G levels of expected network performance while consuming the same amount of energy as the traditional 4G network.
5G also is expected to power the next generation of sustainability applications around Greenhouse Gas (GHG) emissions monitoring and management, optimal resource management, smart transport, and other uses. Its higher bandwidth will make it possible to connect large numbers of IoT devices over the Internet and enable faster decisions through increased connectivity speeds and low latency.
While 5G offers numerous benefits, from optimization and efficiency to unlocking new growth avenues, the strategic business value needs to be clearly communicated to enterprises.
Currently, the 5G ecosystem is a bit fragmented, with different types of players offering their own strengths. For example, OEMs are focusing on improving the equipment and hardware; communication service providers are focused on increased speed and low latency; and system integrators (SIs) bring data, AI/ML, IoT, and cloud expertise.
To move to the next level, industry players need to combine 5G’s benefits of connectivity, reliability, and low latency with AI/ML, IoT, and cloud to build business use cases that add value to enterprises beyond just showcasing the possibilities.
Ecosystem players need to help enterprises realize that 5G is not only an improved wireless network technology but also a solution to their long-standing efficiency and optimization challenges that can enable their next wave of growth.
To further discuss the India mobile conference and how to capture the most value from 5G business opportunities, please reach out to us at [email protected] and [email protected].
Watch our webinar, What’s Ahead After a Decade of Digital Transformation?, to hear our analysts share perspectives on what’s in store for the digital transformation industry in the next ten years.
The next-generation exponential technology of Web 3.0 holds promising opportunities for brand, technology, marketing, and business strategy providers to partner with enterprises in five key service areas. To learn more about the opportunities in this emerging market, read on.
Multiple consumer and business brands have taken the first steps in experimenting with Web 3.0 business by building non-fungible tokens (NFTs), purchasing virtual lands in metaverse platforms, organizing virtual events, and creating enabling platforms.
But building a Web 3.0 business goes beyond just creating NFTs for a company and requires embracing the concepts of Web 3.0 business, the creator economy, decentralization, social commerce, immersive experience, trust, and sustainability.
As enterprises like Ferrari, Starbucks, JP Morgan, McDonald’s, Samsung, NBA, Walmart, Disney, Google, Nike, Oracle, EY, and Stripe begin to see traction in this space, they will seek to partner with brand, technology, marketing, and business strategy providers who understand this ecosystem to scale initiatives and drive newer ones.
Let’s explore the following five key demand areas where providers can offer their expertise.
Business strategy services: Web 3.0 business needs to be conceptualized and aligned with the enterprise strategy. Beyond that, service partners should also be bold enough to push clients to adopt Web 3.0 business models that may not be entirely related to their existing businesses. This has already started to happen and has blurred the boundaries between industries and company classifications.
Normally enterprises start with building NFT offerings for their brand to engage consumers. NFT design and implementation can create short-term demand and may eventually become a small part of overall Web 3.0 initiatives. Many enterprises use celebrities, while others use crowd contributions, technology, and various other models to build NFTs. Professional service partners need to understand this complex landscape and advise clients accordingly. With an estimated 15,000 Web 3.0 start-ups, making the correct selection is important.
At the beginning of a Web 3.0 journey, clients will seek services tailored to their specific industry, such as an automotive company creating a virtual showroom in metaverse; an apparel company using NFTs to trade for physical goods; a bank building a Web 3.0-enabled payment system; or an energy company incentivizing customers to sustainably consume power with crypto assets. In addition, many clients may want finance, procurement, and Human Resources to leverage Web 3.0 principles. Service providers who support such enterprise functions need to be at the forefront to serve this demand or risk near-term losses.
Architecture and platform services: Recently, leading cloud vendors such as Google and AWS launched blockchain node services. In addition, start-ups are focusing on Web 3.0 infrastructure services to enable out-of-the-box offerings. Start-ups such as InfStones, ChainSafe, and Alchemy collectively raised US$300 million to enhance their blockchain infrastructure offerings.
Service providers need to work with these vendors to build enabling infrastructure for clients’ Web 3.0 journey. Even for seemingly simpler initiatives such as building NFTs, clients have multiple platform decisions to make, such as NFT marketplaces, wallets, and underlying blockchain. Not only do service providers need to understand these complex technologies and work with an extended ecosystem, but these firms also need to be thought partners to guide clients in the right direction and drive initiatives.
In addition, the core offerings for edge, network, and pervasive computing must be delivered. Unlike cloud-based workloads, the Web 3.0 ecosystem will heavily rely on edge processing. Materially high network bandwidth and resiliency will be required. Therefore, ongoing hyper-automated technology operations services will need to be amplified using next-gen observability, resiliency, and predictive maintenance. Service partners will have to focus on the right messaging infrastructure, decide between off/on-chain computing, build digital simulations, and create the underlying Web 3.0 core for their clients, much like they did for cloud services.
Brand and experience services: At the core of Web 3.0 businesses is the experience it can create for end consumers. Branding and experience service providers such as Dentsu and Publicis are already investing in the Web 3.0 ecosystem. Moreover, technology providers such as Adobe and Salesforce have also launched offerings to address this client need. Although “user centricity” has gained pace in recent years, Web 3.0 businesses need to take this even further. Brands such as Adidas have already experimented with token-gated communities and provide exclusive access to assets.
The enabling technologies, platforms, and environments now available to build such experience offerings are powerful but complex. Socially distributed networks, creator platforms, crypto payments, generative Artificial Intelligence (AI), enhanced reality, and various other solutions have the power to create previously unimagined customer experiences. Chief Marketing Officers (CMOs) have to become extremely tech-savvy to explore the potential Web 3.0 business has for their brand strategies.
Software and integration services: Web 3.0 business requires thousands of software to work together. Enterprises will build many of these internally to drive differentiation. However, many back-end software will be SaaS-based and bought through vendors that will need integration. In addition, numerous Application Programming Interfaces (APIs) will be built and purchased that will need to work in unison.
This will not just be the software we see today but will have AI/Machine Learning (ML) and other advanced data technologies as their core. These context-aware software will need to leverage advanced auto-development, auto-tuning, and auto-management concepts to be more efficient and sustainable. Rather than being cloud-first, these software will have to be edge-first and compatible across various hardware, unlike browser-based systems. Building lightweight yet rich workloads will be a complex engineering problem to solve for.
Governance, risk, and cyber security services: The legalities of Web 3.0 businesses are unknown, and clients need significant help from service partners to navigate this complex new pioneer. Enterprises will need assistance deciphering contractual obligations, data privacy, personal identity, cyber security, and interpreting platform terms and conditions.
The recent collapse of crypto exchange FTX is a good example. Some law firms have found the terms and conditions of popular Metaverse platforms extremely one-sided. If these platforms shut down their business, the consumer would lose all their virtual assets. Service partners need to work with clients to help them understand the risks and build recovery solutions. Providers also will need to deliver cyber security, content moderation, trust, and related security and risk services so clients feel secure that customers will trust their Web 3.0 business initiatives.
In addition, given Web 3.0 enabling technologies are under scrutiny for their environmental impact, clients will look for service partners who have sustainability as a primary offering. Environmental sustainability will take near-term priority for such initiatives.
Moreover, massive opportunities will emerge to build technology workloads by adopting Web 3.0 concepts. In the same way clients adopted Web 2.0 social media and digital commerce to enhance their businesses, they will want to adopt business-contextualized Web 3.0 technologies. The key difference is that Web 3.0 will propel enterprises to engage with stakeholders in previously unknown ways, learn about newer architectures and monetization models, and embrace the creator economy – all pushing them beyond what they are now and realizing the art of the possible.
For more on Everest Group’s research in this area, see our reports on the following topics: NFTs, Decentralized Finance, Metaverse, crypto assets, Blockchain, and trust. If you are a brand management, technology, or strategy consulting provider, please reach out to [email protected] to share your experience in building Web 3.0 business for clients.
Start planning for the future of your organization. Join our upcoming webinar, Key Issues for 2023: Rise Above Economic Uncertainty and Succeed.
The post-pandemic era is repeatedly stress-testing organizations’ abilities to adapt to a volatile world through rising inflation, an economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortages. As corporate executives go back to the drawing board to re-examine their strategic priorities, they are increasingly regarding automation as a strategic initiative to emerge successful amid these uncertainties.
Robotic Process Automation (RPA) has remained a key enabler for enterprise automation. While the overall automation ecosystem is rapidly evolving through new technologies – such as Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI – these technologies only strengthen RPA, which continues to be a foundational element of enterprise automation. RPA provides a host of benefits to enterprises, including improved operational efficiency, enhanced customer and employee experience, and a workforce engaged in strategic activities. With Big Tech firms entering the space, RPA has become one of the fastest-growing software markets.
In this report, we study 23 RPA technology providers and position them on Everest Group’s PEAK Matrix®, categorizing them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. The research will help buyers select right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other.
This PEAK Matrix® report examines:
Everest Group’s PEAK Matrix® evaluation of RPA technology providers and their categorization into Leaders, Major Contenders, and Aspirants
The competitive landscape of the RPA technology provider market
Key RPA technology trends
Key strengths and limitations of each RPA technology provider
Scope:
All industries and geographies
The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.
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