85 percent of enterprises believe investing
in GenAI technology in the next 24 months is critical, a new ISG
report finds
The advent of generative AI (GenAI) has dramatically increased
awareness and investment in artificial intelligence technologies,
with enterprises saying that half of their AI budgets are now
devoted to GenAI, according to a new research report from leading
global technology research and advisory firm Information Services
Group (ISG) (Nasdaq: III).
The ISG AI Platforms Buyers Guides, produced by ISG Software
Research (formerly Ventana Research), say that in addition to
bringing new attention to the AI domain, GenAI offers the promise
of making AI much more accessible and more easily utilized in a
broader portion of the workforce and the general public. According
to buyer behavior research from ISG, 85 percent of enterprises say
they believe that investment in GenAI technology in the next 24
months is important or critical.
The ISG report notes that hiring and retaining experienced AI
professionals is the biggest IT resource challenge and the biggest
impediment to enterprises adopting AI on a broader scale.
“Enterprises need objective, independent assessments of AI
software providers,” said David Menninger, Executive Director, ISG
Software Research. “Capabilities vary widely among these providers.
The lack of AI-talented resources makes it even more difficult for
enterprises to evaluate which vendors can best meet their
needs.”
The most common tasks where GenAI is being applied include
natural language processing (NLP) such as chatbots, copilots and
assistants, extracting information from and summarizing documents,
and assisting with software development tasks such as code
generation and application migration. GenAI is expected to have a
bigger impact in these areas than predictive AI.
While the rise of GenAI has been meteoric, enterprises still
plan to invest one-half of their AI spend on predictive or
traditional AI. Predictive AI is expected to have a bigger impact
in areas such as credit risk, fraud detection, algorithmic trading
and customer acquisition.
Developing and deploying AI models is a multistep process,
beginning with collecting and curating the data that will be used
to create the model. Once a model is developed and tuned using the
training data, it needs to be tested to determine its accuracy and
performance. Then the model needs to be applied in an operational
application or process.
The study notes enterprises need to monitor and maintain the
models, ensuring they continue to be accurate and relevant as
market conditions change. In the case of third-party Large Language
Models (LLMs), providers are constantly updating and improving
their models, so enterprises need to be prepared to deploy newer
models as well.
Software providers have slowly recognized that a lack of Machine
Learning Operations (MLOps) and LLMOps tooling was inhibiting the
successful use of AI. AI software providers have expanded their
platforms to address many of these capabilities, and specialist
providers have emerged with a focus on MLOps/LLMOps. ISG Software
Research asserts that by 2026, four in five enterprises will use
MLOps and LLMOps tools to improve the quality and governance of
their AI/ML efforts.
The ISG AI Platforms Buyers Guides are designed to provide a
holistic view of a software provider’s ability to serve a
combination of traditional AI, GenAI and MLOps/LLMOps workloads
with either a single AI platform product or a set of AI platform
products. The AI Platforms Buyers Guides include the full breadth
of overall AI capabilities and considered whether the capabilities
were available from a software provider in a single offering, or a
suite of products or cloud services.
For its 2024 AI Platforms Buyers Guides, ISG evaluated software
providers across three AI platform categories – AI Platforms, GenAI
Platforms and MLOps/LLMOps – and produced a separate Buyers Guide
for each. A total of 30 providers were assessed: Alibaba Cloud,
Altair, Alteryx, Amazon Web Services (AWS), Anaconda, Anthropic, C3
AI, Cloudera, Cohere, Databricks, Dataiku, DataRobot, Domino Data
Lab, Google, H20.ai, Hugging Face, IBM, MathWorks, Microsoft,
NVIDIA, OpenAI, Oracle, Palantir, Red Hat, Salesforce, SAP, SAS,
Snowflake and Teradata.
ISG Software Research designates the top three software
providers as Leaders in each category. For the 2024 study, the
leading providers in ranked order are:
AI Platforms: Oracle, AWS and IBM
GenAI Platforms: Oracle, Databricks and Microsoft
MLOps: Oracle, AWS and Databricks
”We are seeing dramatic changes in technological innovation
related to the use of enterprise software for AI, with platforms
designed to support a range of requirements for GenAI and Machine
Learning,” said Mark Smith, partner, ISG Software Research.
“Considering the rapid pace of change in this domain, organizations
need research insights on which software providers can interoperate
with cloud and data platforms to best support business and IT
requirements.”
The ISG Buyers Guides for AI are the distillation of more than a
year of market and product research efforts. The research is not
sponsored nor influenced by software providers and is conducted
solely to help enterprises optimize their business and IT software
investments.
Visit this webpage to learn more about the Buyers Guides for AI
and read executive summaries of each of the three reports. The
complete reports, including provider rankings across seven product
and customer experience dimensions and detailed research findings
on each provider, are available by contacting ISG Software
Research.
About ISG Software Research
ISG Software Research, previously Ventana Research, provides
authoritative market research and coverage of the business and IT
software industry. It distributes research and insights daily
through its user community, and provides a portfolio of consulting,
advisory, research and education services for enterprises, software
and service providers, and investment firms. Its on-demand service
provides structured education and advisory support through
subject-matter experts. ISG Buyers Guides support the RFI/RFP
process and help enterprises evaluate and select software providers
through tailored assessment services and the ISG Software Research
Value Index methodology. Visit www.ventanaresearch.com for more
information and to sign up for free community membership.
About ISG
ISG (Information Services Group) (Nasdaq: III) is a leading
global technology research and advisory firm. A trusted business
partner to more than 900 clients, including more than 75 of the
world’s top 100 enterprises, ISG is committed to helping
corporations, public sector organizations, and service and
technology providers achieve operational excellence and faster
growth. The firm specializes in digital transformation services,
including AI and automation, cloud and data analytics; sourcing
advisory; managed governance and risk services; network carrier
services; strategy and operations design; change management; market
intelligence and technology research and analysis. Founded in 2006,
and based in Stamford, Conn., ISG employs 1,600 digital-ready
professionals operating in more than 20 countries—a global team
known for its innovative thinking, market influence, deep industry
and technology expertise, and world-class research and analytical
capabilities based on the industry’s most comprehensive marketplace
data. For more information, visit www.isg-one.com.
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version on businesswire.com: https://www.businesswire.com/news/home/20240625287540/en/
Press Contacts:
Will Thoretz, ISG +1 203 517 3119 will.thoretz@isg-one.com
Julianna Sheridan, Matter Communications for ISG +1 978-518-4520
isg@matternow.com
Information Services (NASDAQ:III)
과거 데이터 주식 차트
부터 8월(8) 2024 으로 9월(9) 2024
Information Services (NASDAQ:III)
과거 데이터 주식 차트
부터 9월(9) 2023 으로 9월(9) 2024