Generative AI use cases flourish across multiple domains and industries
- ChatGPT
- Foundation Models
- GenAI
- Generative AI
- Large Language Models
- LLMs
Generative AI opportunities are being increasingly explored by companies across many industries. In this Key Topic Insight Report, we start with the discussion on what generative AI is, the benefits of the technology, and how has the technology evolved over the years. We also discuss the meaning of Foundation Model and Large Language Model, the terms which appear frequently whenever generative AI is discussed. A major part of the report focuses on highlighting use cases where generative AI can be deployed to support several enterprise functions. It will help potential adopters of the technology to prioritise use cases that will benefit the most by use of generative AI. For example, it discusses the potential of the technology in customer support, IT, sales, marketing, finance and R&D functions. The report also lists examples of leading companies that are already deploying the technology within these functions. While the technology looks promising for the future, it has a flip side too. The last part of the report discusses the major challenges associated with the technology, including data bias, technical complexity, intellectual property rights and legal concerns.
- ABN Amro
- Amazon
- Amgen
- ASOS
- Baskins Robins
- BBVA Bank
- Contenda
- DALL-E
- Deepbrain
- Deutsche Bank
- Emirates NBD
- GA Telesis
- Goldman Sachs
- Google
- IBM
- Insilico Medicine
- Lexica
- Macy’s
- Meta
- Microsoft
- Midjourney
- Mitsui Chemicals
- Morgan Stanley
- Murf AI
- Myntra
- Nordstrom
- NVIDIA
- OpenAI
- Orange
- Replit
- Resemble AI
- Salesloft
- Samsung
- SellScale
- Spotify
- Synthesia
- University of Kansas
- University of Stanford
- Vodafone
- Walmart
- WPP
- Zepp Health
- Artificial Intelligence
- Robotic Process Automation
HCLTech: Digital Transformation capabilities assessment
- HCLTech
- Digital Transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- Application Development
- DRYiCE
- Generative AI
- IoT WoRKS
- System Integration
The report examines the capabilities of HCLTech in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of HCLTech across 11 technology areas and dozens of functions, to determine the core strength of HCLTech for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.
Virtual Briefing: Optimising Device-to-Cloud Connectivity: Why IoT needs Connected-by-Design
- IoT
- Internet of Things
- Connected by Design
- device
- cloud
- AI
- workloads
- connectivity
- edge computing
This Virtual Briefing addresses the Transition Topic related to optimising Device-to-Cloud connectivity', in particular the importance of adopting a Connected-by-Design approach for IoT deployments, highlighting the need to integrate connectivity considerations throughout the design process. By taking into account the unique requirements of each IoT use case and the complexity of component mix, this approach allows for the optimization of all elements in the IoT system.
- Internet of Things
- Hyperconnectivity
- Edge Computing
- Artificial Intelligence
The Vision Stack: navigating complexity with knowledge
- Vision Stack
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- Digital Transformation
Successfully navigating the volatility, uncertainty, complexity, and ambiguity (VUCA) of AI and IoT fields, and digital transformation (DX) initiatives, requires clarity and pragmatic tools. Traditional strategic approaches perform poorly in VUCA environments. The Vision Stack aligns organisational knowledge-creation with value-creation via a familiar “stack” metaphor, a simple mental model, and, when required, a robust process. Based on a Design Thinking approach, the Vision Stack quickly creates clarity in VUCA environments, and uncovers hidden strategic insights for complex technology initiatives like IoT, AI, and DX. Technology vendors and adopters can use the Vision Stack to ensure that they are harnessing the knowledge and expertise within their organisation to accelerate innovation, deliver compelling products, effect a process transformation, or to maximise sales. This report starts with an explanation of the Vision Stack and why it is needed by organisations involved in rapidly evolving technology fields, either as adopters or as suppliers. It continues by exploring the concept of ‘sensemaking’ whereby organisations make sense of the huge amounts of data, both explicit (e.g. databases, metrics, or code) and tacit (e.g. experience, problem-solving, or judgement) and turn it into informed decision-making. Finally, the report expands on the concept of sensemaking into the Vision Stack and describes five layers of knowledge. These layers of expertise enable an organisation to optimise performance, and include, craft knowledge (Techne), scientific knowledge (Episteme), conjectural or cunning knowledge (Metis), practical wisdom (Phronesis), and excellence (Arete), which collectively sit under the acronym TEMPA. In short, the Vision Stack includes TEMPA and provides guidance and a means to navigate complexity. It empowers proactive decision-making, fuelling success. Throughout the report we include examples of how the various types of knowledge in TEMPA are applied in the IoT, AI, and DX scenarios to accelerate innovation, improve the quality of outcomes, and optimize organizational expertise.
Oracle: Digital Transformation capabilities assessment
- Oracle
- digital transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- Database Management
- Generative AI
- Oracle Cloud
This report examines the capabilities of Oracle in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Oracle across 11 technology areas and dozens of functions, to determine the core strength of Oracle for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.
IBM: Digital Transformation capabilities assessment
- IBM
- Digital Transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
- AIOps
- Automation
- Generative AI
- IBM Blockchain Transparent Supply
- IBM Food Trust
- Maximo
- Tririga
- Watson AI
- Watson Assistant
- Watsonx
The report examines the capabilities of IBM in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of IBM across 11 technology areas and dozens of functions, to determine the core strength of IBM for meeting enterprises’ needs. The 11 technology families in which the vendor’s capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these may not encompass every possible technology that organisations may need in order to pursue a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, and field & operational services) using Transforma Insights’ four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services, and specialist services. For each of the 92 combinations of function and technology, IBM is rated for whether its capabilities are ‘Emerging’, ‘Significant’, ‘Market Leading’, or ‘None’. This rating is based on both the credibility of the solution and the position of the offering in the market (e.g., market share).
KPMG: Digital Transformation capabilities assessment
- KPMG
- digital transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
The report examines the capabilities of KPMG in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of KPMG across 11 technology areas and dozens of functions, to determine the core strength of KPMG for meeting enterprise needs. The 11 technology families in which the vendor’s capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.
Accenture: Digital Transformation capabilities assessment
- Accenture
- digital transformation
- DXSP
- Internet of Things
- IoT
- Artificial Intelligence
- AI
- PLM
- distributed ledger
- blockchain
- Robotic Process Automation (RPA)
The report examines the capabilities of Accenture in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Accenture across 11 technology areas and dozens of functions, to determine the core strength of Accenture for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, Accenture is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share).
- Accenture
- Mindtribe
- Nytec
- Pollux
Sigfox is driving convergence in licence-exempt LPWA markets and beyond
- Hyperconnectivity
- IoT
- Sigfox
- 0G
- LoRa
- LoRaWAN
- LPWA
- mMTC
- NB-IoT
- LTE-M
It’s a little over a year since UnaBiz was appointed the new owner of Sigfox in conclusion of receivership proceedings for Sigfox and its subsidiary Sigfox France. Recently UnaBiz has made a flurry of announcements concerning Sigfox, including with new partners Actility, Loriot, Semtech, Senet, and The Things Industries. UnaBiz has also made some significant changes to the commercial frameworks that underpin the Sigfox operator ecosystem. The company has released the Sigfox device code and libraries to the public, changed its commercial relationships with Sigfox Network Operators, and refocussed on monetising the provision of core network services. In this report we unpick the significance of the recent announcements, and also some of the changes that have not been publicised.
- Actility
- Helium
- LoRa Alliance
- Loriot
- Semtech
- Senet
- Sierra Wireless
- Sigfox
- Soracom
- The Things Industries
- UnaBiz
- ZiFiSense
- Internet of Things
- Hyperconnectivity
Over 2.3 billion cellular connections will be eUICC/Remote SIM Provisioning (RSP) capable in 2032
- Internet of Things
- IoT
- M2M
- eSIM
- eUICC
- embedded SIM
- MFF2
- RSP
- Remote SIM Provisioning
- SGP.02
- SGP.22
- SGP.32
- forecast
In May 2023, the technical specifications of the SGP.32 (“IoT”) standard for Remote SIM Provisioning were finalised by the GSM Association (GSMA) Working Group 7. This followed the availability of two other standards developed by the GSMA: SGP.02 (“M2M”) and SGP.22 (“Consumer”) introduced in 2014 and 2016, respectively. The availability of SGP.32 has focused the attention of many stakeholders in IoT connectivity on what their approach will be to supporting each, and what the implications are for delivering IoT connectivity. In this report we quantify the cellular IoT market in terms of which approach is taken to Remote SIM Provisioning (RSP), as well as non-RSP-based approaches. The report focuses not just on the use of the GSMA standards, but on all options for connecting cellular-based IoT devices. This also includes non-standard approaches to Remote SIM Provisioning, as well as the well-established non-RSP-based mechanisms such as roaming, multi-IMSI and single IMSI. Transforma Insights has extensive and highly granular forecasts of the total opportunity for IoT, including cellular-based connections across hundreds of different applications. Considering the sensitivities and deployment circumstances of each application we modelled how cellular-based IoT connections would split between each of the various options for managing SIM profiles. The report includes our view on how annual shipments and installed base split between RSP and non-RSP and which of nine approaches, including the three standards and other options, would account for what proportion of sales and connections between 2022 and 2032.
- Hyperconnectivity
- Internet of Things
Below is a list of Transforma Insights' research reports on Digital Transformation, IoT, AI and other disruptive technologies. Our 'Essential' subscribers can access a select sub-set of the reports as 'Essential Reading'. User Group members can access exclusive 'User Group' content. Some reports (e.g. Peer Benchmarking) are only available to 'Corporate' users. For details on how to upgrade your subscriptions, check your Profile page. If you would like to speak with our analysts about the content of any report, or any other topic, please contact enquiries@transformainsights.com.
