Discovering the Potential of Your AI Initiatives and Applications to Achieve GenAI Success

It may seem obvious by now but it bears repeating. AI is helping businesses everywhere drive transformational business advantage, improved operational efficiency and so much more. However, research shows many organizations are struggling to identify, prioritize and plan AI initiatives and projects. Many IT and business leaders report feeling unprepared for AI adoption.

According to one such study by ESG – the Enterprise Strategy Group – many organizations are not prepared to start their AI journey and capitalize on the opportunities that present themselves. Of the 800 businesses surveyed globally, just 37% believe their infrastructure and data ecosystem are prepared to support their AI ambitions. And just 44% believe they have well-defined policies governing the use of generative AI.

Compounding the problem is a lack of relevant experience, with over 50% reporting a lack of skilled employees with GenAI knowledge. And hiring people with those valued skill sets can be difficult, too.

Introducing AI Discovery Service for Hitachi iQ

To address this challenge, Hitachi Vantara is excited to announce the launch of our AI Discovery Service for Hitachi iQ, part of our broader Professional Services and Hitachi iQ AI solution portfolio offerings.

Hitachi Vantara AI Discovery Services is designed to help customers identify the most valuable AI use cases, assess their level of data and infrastructure readiness, and create a strategic roadmap for successful AI implementation and ROI.

AI Discovery is part the Hitachi iQ portfolio, an industry-optimized AI solution suite for organizations investing in AI/ML workloads that we launched earlier this year. By embedding industry-specific capabilities into our AI solution stack, Hitachi iQ ensures more accurate and relevant business outcomes. It’s a fully integrated solution designed to empower organizations to harness the power of AI, regardless of where their data is located.

Your Partner in AI Transformation

Working closely together with our customers and partners, our AI Discovery Service approach enables companies to explore how to best leverage GenAI, machine learning and other emerging technologies. And then identify their best opportunities to optimize potential value.

We do this by pinpointing labor-intensive activities that utilize data. Examples of cross-industry use cases include:

• Knowledge consolidation

• Software development lifecycle (SDLC) optimization

• Customer service and augmented chat

• Trend analysis

• Quality control

• Custom/personalized content creation

• Content retrieval and augmented search

We also have a number of industry-specific use cases, including fraud detection, claims processing, lead identification and predictive maintenance, among many others.

Generative AI has the potential to drive value across every aspect of the business, from back-office operations to customer interactions. The goal of our AI Discovery Service offering is helping to identify those opportunities. And then determine what needs to happen moving forward in order to manage the ecosystem of AI platforms, tools and software to enable them to facilitate the best possible AI model development, deployment, management and outcome.

A Prescriptive Plan for Successful AI Outcomes

To achieve the desired results, we employ a unique AI Discovery Accelerator Methodology consisting of three, week-long phases, designed to identify labor intensive activities that rely heavily on data. We break it down as follows:

Opportunity Analysis (Week 1): Immersion in company priorities, inventory of internal data sources, risk identification and opportunity prioritization.

Use Case Selection (Week 2): Identify priority use cases to optimize the business and pinpoint a candidate for initial pilot based on value creation opportunity, risk and data availability.

Planning (Week 3): Plan a proof-of-concept vision, approach and timeline, aligned to value creation goals, hypotheses to validate and success criteria. Then we recommend a high-level roadmap for next actions.

Deliverables coming out of this process include an in-depth research report summarizing points of pain and areas of opportunity, use case definition and roadmap, organized by now, near and next vision initiatives, and concept documentation and proof-of-concept (POC) plan summarizing the top AI business concepts overall.

Discover Your AI Potential

No matter how you look at it, AI is a powerful tool for organizations seeking to enhance efficiency, create or protect competitive advantages, and explore new revenue streams, among many other potential objectives and outcomes. Following our AI Discovery Service approach, businesses can identify high-impact opportunities and create a strategic roadmap for AI integration and growth with help from a trusted, highly experienced partner.

Hitachi also has a long history of IT/OT domain expertise in businesses such as rail, energy and manufacturing and is a leader in integrating IT infrastructure and business applications across these and other industries worldwide. Offered through multiple consumption models, our Hitachi iQ AI portfolio gives customers the ability to consume the data infrastructure they need, all while providing improved on-premises performance and allowing for a better ROI.

So regardless of where your organization is on your journey, we’re ready to help you discover and accelerate the speed of your AI ambitions. Let’s get started discovering today.

Read more

• Hitachi iQ: Hitachi Content Software for File with NVIDIA DGX BasePOD™ Reference Architecture
• Analyst content: Enterprise Infrastructure for Generative AI
• Hitachi iQ, an AI Solution Stack for Enterprise Workloads
• Hitachi Vantara Professional Services
• Lack of Readiness, IT Talent Lead to GenAI Struggles
• Hitachi Vantara Announces Collaboration with NVIDIA to Create New Portfolio of Industrial AI Solutions