Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

6 keys to genAI success in 2025

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. In 2025, that’s going to change. It’s the year organizations will move their AI initiatives into production and aim to achieve a return on investment (ROI).

But first, they’ll need to overcome challenges around scale, governance, responsible AI, and use case prioritization. Here are five keys to addressing these issues for AI success in 2025.

1. Identify your top genAI use cases. For organizations seeking productivity and innovation gains, a best practice is to prioritize use cases based on value, feasibility, and breadth. To determine value, ask yourself questions like: How strategic is this use case? Does it contribute to business outcomes such as revenue, sustainability, customer experience, or saving lives?

To evaluate feasibility, ask: Do we have internal data and skills to support this? What are the associated risks and costs, including operational, reputational, and competitive?

Finally, when evaluating scope or breadth, go broad when there’s competition for resources and narrow if there’s hesitation toward adoption.

2. Evaluate processes that can be improved with genAI. When thinking implementation, first consider how genAI can improve existing business processes.

Next, explore potential new workflows or processes that genAI can create to improve productivity, increase innovation, and/or provide competitive differentiation.

3. Prioritize data quality and security. For AI models to succeed, they must be fed high-quality data that’s accurate, up-to-date, secure, and complies with privacy regulations such as the Colorado Privacy Act, California Consumer Privacy Act, or General Data Protection Regulation (GDPR).

Adhering to these practices also helps build trust in data. That said, watch for data bias. Put robust governance and security practices in place to enable responsible, secure AI that can scale across the organization.

4. Invest in internal or outsourced skills. Like any new technology, organizations typically need to upskill existing talent or work with trusted technology partners to continuously tune and integrate their AI foundation models. The same holds true for genAI.

Organizations should create a cross-functional team comprised of people who are already building, managing and governing existing AI initiatives in order to lay the foundation for genAI and select the appropriate AI solutions or models.

5. Increase adoption through change management. Driving genAI adoption requires organizations to incorporate it into company culture and processes. Change management creates alignment across the enterprise through implementation training and support.

Find a change champion and get business users involved from the beginning to build, pilot, test, and evaluate models. Ask for input on challenges and needed efficiencies and provide credit for employee contributions.

6. Track ROI and performance. GenAI operations and business automation teams must look at value and complexity against cost to determine which use cases provide the highest return for their investment. The goal should be to use lower-cost automation technologies and low-code platforms when possible, and genAI as needed.

When it comes to performance, the KPIs for business processes are the same with AI-enhanced improvements. Some of these include: greater efficiencies and productivity around process improvements, faster cycle times, higher customer satisfaction, and market share gains through innovation.

Work with expert partners

Many organizations struggle to ensure successful AI and genAI implementations. That can be due to a lack of skillsets, concerns about risks or integration complexity, or identifying the right use case that will deliver ROI.

Turn to experts for guidance and support. Ask how you can customize genAI to meet organization’s needs and ensure business value.

For example, Argano works with companies across industries to design and deploy AI and genAI solutions that streamline operations, increase agility, and drive sustainable growth. Consultants can help you develop and execute a genAI strategy that will fuel your success into 2025 and beyond.

Click here to learn more about how you can advance from genAI experimentation to execution.


Read More from This Article: 6 keys to genAI success in 2025
Source: News

Category: NewsDecember 17, 2024
Tags: art

Post navigation

PreviousPrevious post:메타, AI·혼합현실 결합한 메타버스 비전 소개··· “안경이 최적의 AI 네이티브 폼팩터”NextNext post:On Arm PC return rates and CEO posturing

Related posts

휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
May 9, 2025
Epicor expands AI offerings, launches new green initiative
May 9, 2025
MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
May 9, 2025
오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
May 9, 2025
SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Recent Posts
  • 휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
  • Epicor expands AI offerings, launches new green initiative
  • MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
  • 오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.