Video analysis has significant potential with business benefits spanning across multiple industries

Video Analysis
Video Analytics
Video Surveillance
Edge AI
CCTVs
Facial Recognition
Image Analysis

Paras Sharma

Video surveillance solutions have been in the market for a while, although they have been primarily used for safety and security. However, advances in digital technology, coupled with the rise of AI and edge analytics are expanding the application of video-based solutions across various industries, contexts and use cases. This evolution positions video analysis as a transformative technology in many scenarios. The demand for video analysis is growing as it proves beneficial in remote maintenance, operational optimisation, and improving public safety surveillance. The integration of AI-equipped cameras for object detection and behaviour analysis extends their utility across multiple industries. In this Key Topic Insight report, we explore why video analysis is needed and demonstrates how edge AI can benefit businesses by overcoming some of the challenges associated with cloud-based video analysis. The report also lists a range of use cases for video analysis across various industries, talks about some relevant case studies where video analysis has been deployed, and lists some of the major vendors and their roles in the ecosystem.

Advanced Micro Devices (AMD)
Atrius
Avigilon
Amazon Web Services
Axis Communications
Bosch
BriefCam
Cisco
Clarifai
Del Monte
Equinor
Ferrous Processing and Trading
Genetec
Google Cloud
Hewlett Packard Enterprise
Honeywell
IBM
Ikea
Intel
IntelliVision
i-PRO
Irisity
Marino’s Market
Microsoft
Mobotix
Motorola Solutions
Nvidia
Oracle
Pelco
Pro-Vigil
Rogers-O’Brien Construction
Seagate
Spot.ai

Artificial Intelligence
Internet of Things
Autonomous Robotic Systems
Edge Computing

Infosys: Digital Transformation capabilities assessment

3D Printing and Additive Manufacturing
Internet of Things
Artificial Intelligence
Hyperconnectivity
Human Machine Interface
Data Sharing
Autonomous Robotic Systems
Distributed Ledger
Edge Computing
Product Lifecycle Management
Robotic Process Automation
Applied AI
Generative AI
Infosys Topaz
Metaverse

Suruchi Dhingra

The report examines the capabilities of Infosys in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Infosys across 11 technology areas and dozens of functions, to determine its core strengths 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, Infosys 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).

Infosys

Webinar - Resilient IoT connectivity: how to reduce outages, ensure connectivity availability and boost customer satisfaction

Internet of Things
IoT
connectivity
cellular
rSIM
resilient SIM

Matt Hatton

In this Transforma Insights webinar sponsored by CSL, Matt Hatton and CSL's Richard Cunliffe, alongside an experienced panel of IoT industry experts, will explore the impact of outages and what options there are to mitigate against them without the need for wholesale change.

CSL Group
Vodafone

Internet of Things
Hyperconnectivity

Deloitte: Digital Transformation capabilities assessment

3D Printing and Additive Manufacturing
Internet of Things
Artificial Intelligence
Hyperconnectivity
Human Machine Interface
Data Sharing
Autonomous Robotic Systems
Distributed Ledger
Edge Computing
Product Lifecycle Management
Robotic Process Automation
Audit
Blockchain
CortexAI
Digital Consulting
Taxation
Supply Chain Transparency

Suruchi Dhingra

This report examines the capabilities of Deloitte in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Deloitte across 11 technology areas and dozens of functions, to determine its core strengths 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. 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, Deloitte 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).

Deloitte

Navigating the generative AI vendor landscape

Artificial Intelligence
Robotic Process Automation
Chatbot
ChatGPT
Fine-Tuning
Foundation Models
GenAI
Generative AI
Large Language Models
LLMs
Training Data

Suruchi Dhingra

CXOs are becoming increasingly aware of the potential of generative AI to reshape their businesses. Many are evaluating its use in their business applications and have started experimenting with the technology to automate processes such as summarising and extracting information from a large volume of content, facilitating call centre support, enhancing personalised content creation, and more. The most effective way to realise the full potential of generative AI is through an ecosystem of partners that have access to the technology and expertise in the area. But with so many vendors entering the market and with the wide range of options available, companies are often left confused. Amidst the crowded vendor market, organisations need a clear and informed approach to effectively navigate through this complex vendor landscape. This report contains an overview of the main options available in the market. The choice of vendors depends on whether companies prefer to build generative AI systems from scratch or purchase pre-existing solutions to achieve their desired outcome. Broadly, generative AI vendors can be grouped into four categories: 1) Foundation model or Large Language Model (LLM) providers, 2) Infrastructure providers, 3) Software providers, and 4) IT service providers (including system integrators). In this report, we discuss the generative AI offerings offered by each of these sets of vendors in the market.

ABB
Accenture
Amazon
Anthropic
Amazon Web Services
Beam
Cerebras
Cohere
DALL-E
Google
HCLTech
IBM
Infosys
Intel
Lightning
Mosaic
Meta
Microsoft
MidJourney
Nvidia
OpenAI
Oracle
Replit
Salesforce
Segmind
ServiceNow
TCS
Wipro

Artificial Intelligence
Robotic Process Automation

Atos: Digital Transformation capabilities assessment

3D Printing and Additive Manufacturing
Internet of Things
Artificial Intelligence
Hyperconnectivity
Human Machine Interface
Data Sharing
Autonomous Robotic Systems
Distributed Ledger
Edge Computing
Product Lifecycle Management
Robotic Process Automation
BullSequana Edge
Codex AI
Digital Transformation
Edge Server
Eviden
Private 4G
Private 5G
Syntbots

Suruchi Dhingra

This report examines the capabilities of Atos in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Atos across 11 technology areas and dozens of functions, to determine its core strengths 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, Atos 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).

Atos

Quantum Computing: Understanding the basic principles and fundamentals of quantum computers

Quantum Computing
Qubits
Quantum Gates
Quantum Algorithms
Shor Algorithm
Grover Algorithm
Superposition
Entanglement
Interference
Quantum Circuits
Simon’s Algorithm
Deutsch-Jozsa Algorithm
Quantum Hardware
Quantum Software
Quantum Computers

Rohan Bansal

This report discusses the basics of quantum computing along with necessary terminologies one needs to know in order to understand the working of quantum computers. Quantum computing is a branch of computing that uses quantum theory to solve problems that are too large or complex for traditional computers, and at exponentially faster rates. These machines manipulate the quantum state of an object to produce qubits to perform complex operations. These qubits lead to the formation of quantum gates that further combine to create quantum circuits, which are the basic functional blocks of a quantum computer and are responsible for performing operations using one of the many quantum algorithms. In this report we outline the basic principles of quantum computing and how it works, including discussion of qubits, relevant principles of quantum mechanics (including superposition, entanglement, and interference). We also discuss quantum gates and quantum circuits, including consideration of key gate types and how these are configured into circuits. Quantum algorithms are key aspects of the coming quantum computing revolution, and we discuss some of the most significant, including Shor’s Algorithm, Grover’s Algorithm, Simon’s Algorithm, and the Deutsch-Jozsa Algorithm. Lastly, we outline the key components of a quantum computer, including both hardware and software, and discuss alternative types of quantum computers and quantum processors (including gate-based, quantum annealers, and photonic quantum computers).

Google Cirq
IBM
Microsoft Azure
Qiskit

Artificial Intelligence
Future Technologies

IoT MVNO market landscape 2023

IoT
Internet of Things
connectivity
cellular
MVNO
mobile virtual network operator

Matt Hatton

This report provides an update on the IoT MVNO Market Landscape report published in November 2021. It includes analysis of the capabilities of 188 MVNOs (up from 175 previously) around the world, including profiles of each. Based on that analysis we draw some conclusions on the current state of the IoT MVNO market landscape. We consider which are the leading IoT MVNOs and look at how the MVNO landscape has changed in the last two years, including a large amount of M&A (almost 30% of MVNOs have been involved in some form in the last 3 years), plus how technology changes such as eSIM (including the forthcoming SGP.32 standard) changes the landscape further.

1Global
1NCE
1oT
Aeris Communications
Airlinq
Arqia
BICS
Blues Wireless
CSL Group
Cubic Telecom
emnify
Eseye
floLIVE
Hologram
iBasis
Itron
Kajeet
KORE
Monogoto
NLT
Onomondo
Orbcomm
Particle
Pelion
Pod Group
POST Luxembourg
Sierra Wireless
Simplex Wireless
Soracom
Tata Communications
Teal
Transatel
Truphone
Twilio
Velos IoT
Wireless Logic
WorldOV

Internet of Things
Hyperconnectivity

The sales funnel: building momentum, dysfunction, or both?

Artificial Intelligence (AI)
digital transformation
Internet of Things (IoT)
Software-as-a-Service (SaaS)
technical marketing

Brad Canham

Traditionally, sales funnels are a way of organizing the journey of buyers through marketing and sales stages. However, technology markets are accelerating and their increasing complexity results in emergent market factors. As a result, an organization’s defined buyer journeys and sales funnels diverge from market realities. Moreover, because sales funnels are tied to an organization’s revenue lifeline; they are are a nexus for power dynamics and social positioning. Therefore, a critical perspective and adaptability is warranted to mitigate against the negative byproducts associated with sales funnels in accelerating technology environments. The first steps to increased adaptability include awareness of the sales funnel’s negative byproducts including: the illusion of control, reinforcement of power dynamics, oversimplifying complexity, dysfunctional momentum, and the reduction of people to profits and costs. In this report we explore the nature of the sales funnel and its use, and particularly focus on the unwanted byproducts that it can produce, as well as offering some thoughts on alternative approaches. Leaders, and especially those whose expertise is tied to using the sales funnel, are encouraged to bring adaptability to sales funnel processes by critically reviewing and continually calibrate sales funnels to markets, including its definitions, timelines, and role in the organization.

HubSpot
Marketo
Monday
Salesforce
Zoho

Webinar - New approaches for technical marketeers: ‘Disturbance Marketing’ and beyond

IoT
Internet of Things
Artificial Intelligence
AI
webinar
technical
marketing

Brad Canham
Matt Hatton

Based on a new set of research and analysis undertaken by Brad Canham, VP Research, and Matt Hatton, Founding Partner, we share a set of innovative new perspectives and approaches specifically aimed at that technology marketing function. The technology fields upon which Transforma Insights focuses, including IoT and AI, are in a constant state of flux, and marketing strategies need to similarly evolve.

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.