Artificial Intelligence – Executive Briefing (Second Edition) – Thematic Intelligence

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All the vital news, analysis, and commentary curated by our industry experts.

The additional benefits and features of the second edition include the following:

  • Update on the latest trends in AI such as constitutional AI, dynalang, and AI TRiSM.
  • Review recent AI chip developments, both technological and geopolitical.
  • Analysis of emerging delivery models, with considerations on domain-specific training and data sensitivity.
  • Regulatory update with a focus on the EU AI Act.
  • Updated use cases and company profiles.

How is the ‘AI Executive Briefing – Second Edition’ report different from other reports in the market?

  • Generative AI is likely to pose a threat to every business across every sector in the coming years.
  • The impact will expand across sectors and business functions as generative AI becomes more accurate and can provide reliable factual advice.
  • This report will help businesses devise a comprehensive AI strategy.
  • It provides a strategic framework that sets out what you should do, based on how generative AI could impact your business.
  • Use cases range from customer support chatbots, and news and marketing content creation, to code writing and product design.

 We recommend this valuable source of information to anyone involved in:

  • C-suite Executives/Strategy Teams
  • Technology Leaders and Startups
  • Business Development and Market Intelligence
  • Investment Analysts and Portfolio Managers
  • Professional Services – Investment Banks, PE/VC Firms
  • M&A/Investment, Management Consultants, and Consulting Firms

To Get a Snapshot of the Artificial Intelligence – Executive Briefing (Second Edition) Thematic Report, Download a Free Report Sample

Artificial Intelligence (AI) Thematic Report Overview

The AI market was valued at $81 billion in 2022 and is anticipated to grow at a CAGR of more than 34% during 2022-2030. Among the five advanced AI technologies receiving the most attention in recent times, generative AI is the fastest growing and is expected to grow at an 80% CAGR from 2022 to 2027. The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice.

The second edition of the AI executive briefing focuses on the latest trends in AI, AI chip development, the EU’s AI act, delivery models, and environmental impacts. This report covers the latest developments in AI chips, the environmental impact of AI, and the AI regulatory landscape.

Report Pages 62
AI Market Size (2022) $81 Billion
Latest Trends in Generative AI ·        Constitutional AI

·        The future of work

·        Dynalang

·        AI TRiSM

Leading Vendors ·        Alibaba

·        AWS

·        Baidu

·        IBM

·        Google

·        Meta

Enquire & Decide Discover the perfect solution for your business needs. Enquire now and let us help you make an informed decision before making a purchase.

Latest Developments in AI Chips

The semiconductor industry has five key product categories: analog, microcomponents, digital logic, memory, and micro-electromechanical systems (MEMS). AI chips typically fall under the microcomponent or digital logic categories. AI chips are driving growth in the semiconductors industry with digital logic, sensors, and analog segments witnessing the highest growth in recent years. The most volatile segment is memory. The AI chips industry is dominated by the Asia Pacific region, particularly Taiwan, South Korea, and Japan.

Some of the latest developments in AI Chips include strong Q2 2023 results for Nvidia which was primarily driven by AI demand, particularly from China ahead of further restrictions. Also, Nvidia’s Hopper-Next GPUs are set to launch in 2024.

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AI Signals

The surge in AI-themed news, deals, and corporate filings signifies a sector-wide recognition of the technology’s transformative potential. The major sectors that have exposure to the AI theme include tech, media, and telecom, healthcare, financial services, construction, consumer, aerospace & defense, and automotive among others. Despite significant layoffs at Meta, Amazon, Microsoft, Intel, Oracle, Twitter, and Salesforce, active jobs remain resilient.

Sector Exposure to the AI Theme

Sector Exposure to the AI Theme

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Generative AI - Regulatory Landscape

Some of the regulatory challenges posed by generative AI systems include bias, hallucinations, privacy, misinformation, and copyright. Proposed in April 2021, the EU AI Act was the first EU regulatory framework for AI. In June 2023, the European Parliament voted on the proposed Act to consolidate its position ahead of talks with EU member states. Moreover, leading AI companies such as Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI have made voluntary commitments to move towards safe, secure, and transparent development of AI technology.

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AI Market - Competitive Landscape

Some of the leading AI vendors making their mark in the AI theme include Alibaba, AWS, Baidu, IBM, Google, Meta, and others.

IBM: In May 2023, IBM unveiled Watsonx, a generative AI platform that includes access to models for generating computer code and text. fm.model.code enables users to create code using natural language while fm.model.NLP provides text generation capabilities. Part of its strategy includes a partnership with Hugging Face, whose platform hosts AI/ML models. The start-up is known for its numerous models and datasets based on open-source code and technology.

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Key Highlights

Of the five advanced AI technologies receiving the most attention today, generative AI (“creation”

in our AI value chain) is the fastest growing. See full gen AI technology briefing in the last edition.

  • This new edition of the AI executive briefing focuses on the latest trends in AI, AI chip development, the EU’s AI act, delivery models, and environmental impacts.
  • Generative AI is likely to pose a threat to every business across every sector in the coming years.
  • The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice.
  • Multiple use cases from across sectors are provided exposing the most innovative AI technologies.
  • GlobalData Thematic Intelligence can help you devise a comprehensive AI strategy.

Reasons to Buy

This second executive briefing will help you understand the latest impact of artificial intelligence on your business. It focuses on generative AI and the threats and opportunities it poses to every business across every sector. The report covers the latest developments in AI chips, the environmental impact of AI, and the AI regulatory landscape.

  • Benchmark your company against your competitors, by comparing how prepared 46 companies in the construction sector are for AI disruption.
  • Identify and differentiate between the leading AI vendors and formulate an adoption plan for your company.
  • Position yourself for future success by investing in the right AI technologies.
  • Develop relevant and credible sales and marketing messages for construction companies by understanding key industry challenges and where AI use cases are most useful.
  • Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the construction industry.

ABB
AAC Technologies
Aardvark Tactical
Ab Initio
Acer
Actifio
Adeptia
Adimec
Advantech
AeroVironment
AEye
Aifnet
Aifnet (Deep Dream)
Aiva Technologies
Algorithmia
Alibaba
Alkira
Alpha MOS
Alphabet (DeepMind)
Alphabet (Google)
Alphabet (Google, Waymo)
Alphabet (Waymo)
Alteryx
Altibase
Amadeus Code
Amazon
Amazon
Ambarella
AMD
AMS
ANYbotics
ApertusVR
Apple
Applied Aeronautics
Aptiv
Arista
Armadillo
Aromyx
Artbreeder
Artificial Intelligence (Wu Dao)
Aryballe
ASCON (C3D Labs)
Ataccama
Attivio
Aurora
Autodesk
Aviatrix
Ayasdi
BAE Systems
Baidu
Baidu
Basler
Beijing Academy of
Big Sleep
BigML
BIOS
Blackrock Microsystems
Blaize
Blue Frog Robotics
Blue River
BMC Software
Boomi
Boomy
Bosch
Brain Corp
Brain.fm
BrainCo
Broadcom
C3.ai
Cairpol
Cambricon
Canon
Cato Networks
Celigo
Celona
Cerebras
CGAL
Chainer
Check Point Software
Chooch AI
Chukong Technologies
Cisco
Clarifai
Cloud Software Group
Cloudera
CloudWalk
Cobalt Iron
Cognex
CognitiveScale
CogView
Coherix
Cohesity
Commnet
Commvault
Compumedics
Consequential Robotics
Continental
Couchbase
CrowdStrike
Crytek
Cyc
Cyclr
Dahua
Darktrace
Dassault Systèmes
Data Cirect Networks
Data Virtuality
data.world
Dataiku
DataRobot
DataStax
DataTorrent
DataVirtuality
DeepAI
Dell
Dell Technologies
Delphix
Denodo Technologies
Denso
DiffusionBee
Diligent Robotics
DJI
Domo
Dorabot
Dot Incorporation
dotData
Druid
Eastern Jin Technology
Ecovacs
Ecrett Music
EdgeConneX
Electronic Arts
EleutherAI
EleutherAI (GPT-J)
ElliQ
Emotiv
EnterpriseDB
Epic Games
Ericsson
Esaote
Exasol
Extreme Networks
Facewatch
FANN
Festo
Fetch Robotics
Finisar
FireEye
Firmenich
Fivetran
flexiWAN
Flexpoint
Flux
Fortinet
Fotor
Fujifilm
Fujitsu
GE
GE (Healthcare)
Generic Robotics
Geometros
Glimpse Group
Global Laser
GM (Cruise)
Goertek
Graphcore
Groq
Gstarsoft
H2O.ai
Hahn Group (Rethink Robotics)
Haptik
Hawk-Eye Innovations
HCL Technologies
Hikvision
Hitachi
Hive
Hologic
Horizon Robotics
HPE
HPE (MapR)
HTC
Huawei
Huawei (HiSilicon)
Hugging Face
Hugging Face (Bloom)
hypnogram.xyz
Hyundai (Boston Dynamics)
Hyundai (Boston Dynamics)
IBM
iCEDQ
iFlytek
ImmersiveTouch
Indie Semiconductor
Infineon
Infinidat
Infiot
Informatica
Information Builders
Innoviz
Inspur
IntegrityWare
Intel
InteraXon
InterSystems
iRobot
iZotope
Jasper Art
Jitterbit
Juniper Networks
Kaminario
Kasisto
Keboola
Keras
Kernel
Keyence
Keyence
Khronos Group (OpenCL)
KNIME
Kubotek
LANDR
LEDAS
Lenovo
LivePerson
Lockheed Martin
Lumentum
Luminar Technologies
Magna
Make
MakeML
MariaDB
MarkLogic
MathWorks
Matillion
Matplotlib
Megvii (Face++)
Merative
Meta
Meta (ESMFold)
Microsoft
Microsoft
Microvision
Midea (KUKA)
Midjourney
Mindmaze
MindsEye
Miso Robotics
Mobileye
Mobvoi
MongoDB
Montreal (Theano)
Motional
Murata
Muzeek
Nauto
Neato Robotics
NEC
Nefarious AI
NetApp
Neurable
Neurala
NeuralBlender
Neuralia
Neuralink
Neuroelectrics
NeuroGen
NeuroPace
NeuroSky
NextMind
NightCafe
Nile
Nippon Ceramic
NLTK
Nokia
Northop Grumman
Numpy
NuoDB
Nutanix
Nvidia
NXP
Odometric
OEM Automatic
Okta
Omron
Omron
Onshape
Open CASCADE
OpenAI
OpenAI (DALL-E 2)
OpenAI (GPT-3)
OpenAI (MuseNet)
openEASE
OpenNN
OpteamX
Oracle
Oracle
Orby
Output
Ovaledge
Oxide Computer
Palantir
Palo Alto Networks
Panasonic
Pandas
Panoply
Paradromics
Pavilion Data Systems
PayPal (Simility)
Pensando
PerceptiLabs
Percepto
Percona
Philips
Pixray
Pony.ai
PostgreSQL
Precisely
Profisee
Progress Software
Prophesee
ProsePainter
Psyonic
PTC
Pure Storage
PureStorage
Qlik
Qualcomm
Quanergy
Quanta
Qubole
RapidMiner
RDF
Redis Labs
Renesas
Restb.ai
RoadBotics
Robotiq
Rockport Networks
Rockwell Automation
Rohm
ROS-Industrial
Runway ML
RunwayML
S&P Global (Kensho)
Salesforce
SambaNova
Samsung Electronics
SAP
SAS
Scality
Scentroid
Scikit-learn
Securonix
Sensae
SenseTime
Sherpa.ai
Shield AI
Shimadzu
Shutterstock
Shutterstock (Amper)
Siasun
Siemens
Siemens (DIS)
Sight Machine
SiLC
SingleStore
Skydio
Small Robot
SnapLogic
Snowflake
Software AG
Solid Modeling Solutions
Sony
SoundHound
Soundraw
SparkCognition
Splash
Splunk
StarryAI
Stateless
Statsmodels
Stemmer Imaging
Stibo Systems
STMicroelectronics
Stone Bond Technologies
StorONE
StreamSets
Sugon
Supermicro
Synchron
Talend
Tangible Research
Tastewise
TDK
TE Connectivity
TechSoft3D
Teledyne
Tencent
Teradata
Teradyne
Tesla
Texas Instruments
Thales
Thales Group
Top Systems
Torch
Toshiba
Transwarp
Tray.io
Trend Micro
Trustgrid
Tulip
Tung Thih
TuSimple
Ultraleap
Unity Technologies
University of
Vdoo
Velodyne
Veo Robotics
Veoneer
Veritas
Violin Systems
ViSenze
Visionati
VistaLink
Visteon
VMware
Volatile
VoltDB
Voyant Photonics
Vrgluv
WebGL
Western Digital
Wolfram
WOMBO (Dream)
Workato
World Wide Web Consortium (Semantic Web)
Zeetta Networks
ZF
ZWsoft

Table of Contents

Executive summary

Focus on generative AI

Latest developments in AI chips

AI signals

AI uses cases by sector

AI vendor landscape

Environmental impact of AI

AI regulatory landscape

Comparing generative AI delivery models

AI market size forecasts

Appendices

Further reading

About GlobalData Thematic Intelligence

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