Artificial Intelligence with a People-first Approach

Hitachi Solutions: Connecting Generative AI with Business Strategy

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While many businesses are eager to implement AI, true success depends on understanding and advancing through organizational AI readiness.  AI readiness goes beyond technology — encompassing business strategy, organizational culture, governance, and experience. Transformation and significant value realization typically occur in the later stages of maturity (scaling and realizing), underscoring the importance of a holistic approach to AI adoption. In short, Hitachi Solutions helps customers with an outcome-based approach that takes your unique business needs into consideration first, building alignment and understanding of what tools, like AI, can be utilized to solve your unique business challenges.

Driving AI Value with Confidence

  • Upgrade tech architecture with a focus on data readiness.
  • Familiarize yourself with generative AI use cases and how they might support your business needs.
  • Define objectives for each use case, weigh ‘build versus buy’ strategies, and partner with trusted providers that can help navigate the intricacies of establishing AI-centric operations.
  • Assess the number of business units and processes, length of time in production, and age of deployments in your organization to reveal patterns that may point to opportunities or blockers.
  • Consider using Copilot for Microsoft 365 or build your own copilot to accelerate learning and time to value.

 

5 Stages of AI Maturity

Exploring

Organizations at this stage are just starting out with AI. They are learning about and experimenting with it in select areas of the organization.

Planning

Organizations at this stage are actively assessing, defining, and planning an AI strategy, running proofs of concept, and planning for AI deployments.

Implementing

Organizations at this stage are moving from proofs of concept and pilots into production.

Scaling

Organizations at this stage are scaling AI projects across the organization.

Realizing

Organizations at this stage are realizing repeatable and measurable value across the organization.

Source: Microsoft AI Strategy Roadmap eBook

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Organizations need a clear, comprehensive plan for driving value with AI that fits their unique business model. We partner with you to uncover ways AI can deliver tangible value to your business, deliver high-impact solutions, and maximize adoption.

Dave Horstein
Senior Director, Advisory Services, Hitachi Solutions

Your Industry. Our Expertise. Everyone Wins.

For more than 20 years, Hitachi Solutions has had a single platform focus on Microsoft. That partnership, combined with our team of industry-focused experts, allows us to quickly incorporate new innovations from Microsoft with minimal risk and maximum benefit to our customers who need to address industry-specific gaps.

$13 Trillion

could be added to the global economy from AI by 2030

40%

increase in productivity through AI-driven automation

75%

of occupations will be at least partially automated in the next 10 years

Managing Change in the Era of AI

To ensure the effective adoption of Generative Artificial Intelligence, it is essential for companies to develop a robust strategy that helps filter out the noise and focus on their specific needs and goals. This begins with a clear understanding of the organization’s pain points, desired outcomes, and the capabilities and limitations of Generative AI technologies in addressing these challenges. A well-formulated Generative Artificial Intelligence strategy should encompass the evaluation of existing infrastructure, internal expertise, and other resources to map out a realistic and achievable plan for implementation.

Hitachi Solutions’ experienced advisory team is comprised of veteran industry leaders who provide invaluable insights on best practices, industry trends, and potential pitfalls you may encounter as you embark on your Generative AI journey. By combining their industry perspectives with a company’s internal expertise, along with tested strategy and change management, a comprehensive and actionable Generative AI strategy can emerge.

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Fostering a Responsible AI Culture

With Generative AI applications from Microsoft and others lifting and augmenting the toolset for literally everyone for free, it’s paramount to establish organizational communication and culture in and around its use. This is the critical juncture where Hitachi Solutions has begun to help executives and enterprises understand how to define Generative AI for themselves, their work culture, and their go-forward principles — and how to best leverage this powerful “search” tool and when it’s appropriate for customer engagement.

The business approach, in this new era, must be addressed for the entire enterprise. This begins by understanding exactly what Generative AI is; identifying where in-house capability exists; and determining how, when, and if to leverage it to enhance business performance.

Hitachi Solutions Advisory Client Partner Dave Horstein goes more in depth on this topic in his post, “Fostering a Responsible AI Culture: An Executive’s Guide.”

Read the Post

5 Stages of AI Maturity [Podcast]

In this episode of “Exchanges with Hitachi Solutions,” host Dave Horstein talks with Ryan Caputo and Chris Bennett about how companies can create value through AI. They discuss the importance of embedding AI into operations for tangible benefits like revenue growth, cost optimization, and innovation, while emphasizing organizational readiness and a phased approach to AI maturity.

The conversation highlights Microsoft’s AI maturity model, which outlines five stages: Exploring, Planning, Implementing, Scaling, and Realizing, and stresses the need for strong leadership and a solid technical foundation to successfully adopt and scale AI. The episode offers practical insights into how businesses can strategically implement AI to achieve substantial value.

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