DigitalCIO
No Result
View All Result
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
DigitalCIO
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
No Result
View All Result
Digitalcio
No Result
View All Result
Home Tech News

Framework For Developing a Generative AI Strategy

DigitalCIO Bureau by DigitalCIO Bureau
September 15, 2023
in Tech News
0
Framework For Developing a Generative AI Strategy
74
SHARES
1.2k
VIEWS
Share on FacebookShare on Twitter

Generative AI (GenAI) has captured the imagination of business leaders and IT decisions makers around the world, but organizations need guidance as they begin their adoption journey. To help organizations understand how to leverage GenAI technology for business success, two new International Data Corporation (IDC) reports outline the foundational activities associated with GenAI investment, provide guidance on prioritizing use cases, and identify the key stakeholders required to build and implement successful initiatives. The reports also feature a new framework – the Generative AI Path to Impact – that explains key activities and elements along the path to business impact.

Before any of the core technologies of GenAI are explored, IDC believes that the following set of key activities needs to be put in place:

  • Establish a Responsible AI Policy: This must include defined principles around fairness, transparency, protections, and accountability relating to the data used to train models, as well as how the results are used. A responsible AI policy should also provide transparency on the roles and responsibilities of developers, users, and other stakeholders, while addressing legal and compliance issues.
  • Build an AI Strategy and Road Map: A set of defined, measurable, and prioritized GenAI use cases is required to align the organization on the key areas that will deliver the maximum business impact in the short, medium, and long term.
  • Design an Intelligence Architecture: Managing the life cycle and governance of data, models, and business context for every use case is critical. The architecture should also include protocols for data privacy, security, and intellectual property protection.
  • Reskill and Train Staff: New competencies will be required to build and use GenAI models, such as ‘prompt engineers’ to write and test prompts for GenAI systems. Every organization must create a new skills map for core AI technologies and business capabilities to deploy GenAI at scale across the organization. Organizations should also build personalized training program for key roles.

Once the key activities are in place, organizations must develop a clear understanding of the core GenAI technologies, as well as their foundation models and capabilities. At the center of any GenAI system is a generative foundation model, including the well-known large language models (LLMs). The game changer in the AI market is the ability for these models to be trained on extraordinarily large amounts of semi-structured and unstructured content and generate new content based on simple prompt requests.

The next step in defining the path to GenAI impact is prioritizing an identified set of use cases. IDC defines a use case as a business-funded initiative enabled by technology that delivers a measurable outcome.

There are three broad types of generative AI use cases that need to be assessed:

  • Industry: These involve more custom work and, in some cases, may require organizations to build their own generative AI models. Examples include generative drug discovery in life sciences and generative material design for manufacturing. Specialized use cases tend to be built around specific models and model providers, with custom integration architectures designed for individual clients.
  • Business Function: These use cases typically involve integrating a model (or multiple models) with corporate data for use by specific departments or business functions, such as Marketing, Sales, and Procurement. Many organizations are already testing these types of use cases but are concerned about intellectual property leakage and data governance.
  • Productivity: These use cases are aligned with work tasks, such as summarizing reports, creating job descriptions, or generating Java code.
    GenAI functionality for productivity improvement is being infused into existing applications, such as Microsoft 360 Copilot or Duet AI for Google. For many of these use cases, business value can be delivered through the content and data that the underlying foundation models have been pretrained on.

Ultimately, GenAI will be widely adopted only if the data, models, and applications that use them are trusted by end users and customers. To achieve this, organizations need to establish a well-orchestrated trust and oversight program to ensure that GenAI technologies can be deployed in a sustainable manner. Organizations and AI vendors must understand the benefits and limitations associated with GenAI use and be prepared to remediate issues while complying with regional data privacy regulations.

Finally, IDC recommends adopting a “three horizons” framework to help organizations transform their business models using GenAI. Horizon 1 focuses on near-term, incremental innovation, followed by disruptive innovation in the medium-term Horizon 2 and long-term business model transformation in Horizon 3. The framework drives alignment across all business domains and helps prioritize key initiatives.

“As the industry moves forward with this fundamental transition to AI embedded into every business and technology function in the enterprise, IDC believes that every CEO will need to have an AI strategy — and generative AI is the trigger,” said Phil Carter, group vice president, Thought Leadership research at IDC. “It is best to get started quickly. We are hopeful that this framework will help every organization develop their own path to impact.”

Tags: GenAIGenerative AIIDCInternational Data Corporation
Share30Tweet19
DigitalCIO Bureau

DigitalCIO Bureau

Recommended For You

Gartner: AI-optimized cloud infrastructure growing rapidly

by DigitalCIO Bureau
October 15, 2025
0
Infosys: Over $300 billion In Corporate Cloud Commitments Remain Untapped

AI-optimized infrastructure as a service (IaaS) is emerging as the next disruptive growth engine for AI infrastructure. As a result, end-user spending is projected to grow 146% by...

Read moreDetails

OpenAI and Broadcom to Build 10 Gigawatts of AI Infrastructure

by DigitalCIO Bureau
October 15, 2025
0

OpenAI and Broadcom have announced a collaboration for 10 gigawatts of custom AI accelerators. OpenAI will design the accelerators and systems, which will be developed and deployed in...

Read moreDetails

AI Skillsets Critical to Cybersecurity Skills Gap Solution

by DigitalCIO Bureau
October 14, 2025
0
Fortinet Expands Universal SASE Coverage with Two New India-Based Data Centres   

Fortinet has released its 2025 Global Cybersecurity Skills Gap Report, shedding light on the new and persistent challenges organizations face due to the cybersecurity skills gap. The global...

Read moreDetails

Visakhapatnam’s First 50 MW AI Edge Data Center Foundation Laid

by DigitalCIO Bureau
October 14, 2025
0
Visakhapatnam’s First 50 MW AI Edge Data Center Foundation Laid

In a major boost to the Andhra Pradesh government’s digital initiatives, Hon’ble Minister for IT, Electronics and Communications, Real Time Governance and Human Resources Development, Government of Andhra...

Read moreDetails

Mass scanning of Palo Alto Networks, Cisco and Fortinet Login portals

by DigitalCIO Bureau
October 13, 2025
0
Mass scanning of Palo Alto Networks, Cisco and Fortinet Login portals

Cybersecurity intelligence firm GreyNoise has observed an alarming increase in scanning activity against network equipment from major vendors in recent days. Scanning of Palo Alto Networks login portals...

Read moreDetails
Next Post
DigiCert Introduces Comprehensive Digital Trust Management For Indian Customers

DigiCert Introduces Comprehensive Digital Trust Management For Indian Customers

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Related News

Qure Secures 22 Patents in 18 Months

Salesforce Study: 72% Of Consumers Trust Companies Less Than They Did A Year Ago

November 9, 2024

CenturyLink and IBM Collaborate

August 4, 2018

Banking Institution in India chooses Dimension Data for its Digital Transformation

June 13, 2019

Browse by Category

  • Acquisition
  • Appointment
  • Archive
  • Artificial Intelligence
  • CIO Interviews
  • Cloud
  • Datacenter
  • Events and Conferences
  • Market Insights
  • News
  • Opinion and Analysis
  • Products
  • Resources
  • Security
  • Storage
  • Tech News
  • Telecom
Digitalcio

Welcome to DigitalCIO, your ultimate source for staying ahead in the ever-evolving world of technology and business.

BROWSE BY TAG

Acquisition AI Appointment artificial intelligence Artificial Intelligence and Machine Learning AWS Barracuda Big Data and Analytics Blockchain CISCO Cloud Computing Cloudflare Commvault CrowdStrike Cybersecurity Digital Transformation Dynatrace E-books Fortinet Gartner GenAI Generative AI Google Cloud HCLTech Honeywell IBM Infographics Internet of Things (IoT) Kaspersky Microsoft Netskope NTT DATA Palo Alto Networks Panel Discussion Qlik Salesforce Sophos Tenable Trend Micro Veeam Veeam Software Vertiv Webinars Whitepaper Zscaler

CATEGORIES

  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
  • Archive

NAVIGATION

  • Home
  • About Us
  • Advertise with Us
  • Contact Us

© 2024 digitalcio.in - All rights reserved.

No Result
View All Result
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources

© 2024 digitalcio.in - All rights reserved.

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?