By now we’ve all seen the remarkable estimates around the artificial intelligence (AI) market:
Gartner predicts that the AI software market will hit $297.9 billion by 2027. And IDC reports that worldwide AI spending will exceed $512 billion by 2027, more than double its 2024 market size.
Many in the industry now recognize AI as a once-in-a-generation transformational technology. It’s comparable to when silicon chips were first mass produced in the 1960s and the Internet exploded in the 1990s.
So How Can MSPs Take Advantage of This New, Burgeoning Market Opportunity?
Jason Hardy, chief technology officer at Hitachi Vantara, says along with selecting a proven partner like Hitachi Vantara with knowledge in how to manage AI data, MSPs have to work with their customers to take a pragmatic, methodical approach.
“Don’t try to transform the business on Day One,” says Hardy. “Start by experimenting on the edge on tasks that deliver some value and give yourself space to learn, grow, and adapt to the point where the organization grows closer to the core. The main thing is you don’t want to sign up for a ton of risk to start.”
Hardy says by leveraging Hitachi IQ, MSPs can offer a wide range of practical application deployment opportunities that will let their customers slowly gain value from AI.
Here are three AI applications that can get customer started:
- Customer Service Voice Assistant: Customer services assistance offers real-time responses and personalized assistance. These virtual assistants streamline interactions, ensuring customer queries are handled efficiently and with a human touch.
- LLM Recommender System: Leveraging the power of large language models, recommender systems promise highly accurate, context-aware suggestions. It personalizes content, products, and services, making discovery seamless and engaging.
- Coding and Development Copilot: Copilots can act as an invaluable partner in the development process, offering real-time suggestions, debugging assistance, and code optimization. By leveraging advanced AI algorithms, they accelerate development cycles and enhances code quality.
Here are Three Advanced AI Applications for More Mature Organizations
- Automated Document Processing and Analysis: Automating document processing streamlines the processing, analysis, and management of large volumes of documents within enterprises. By automating tasks such as data extraction, categorization, and summarization, businesses can reduce manual workloads, improve accuracy, and enhance decision-making across various departments like finance, HR, and legal.
- Financial Reporting and Accounting: By using LLMs that specialize in tax, accounting, and cash flow, these products can reduce the repetitive tasks that workers and consultants are required to do, helping streamline operations and reduce errors for data entry, transaction categorization, and invoice processing.
- Edge Inference: This technology brings AI computing closer to the data source, minimizing latency and enhancing real-time decision making. It’s ideal for applications requiring instant analysis and action, from autonomous vehicles to smart city infrastructure.
Go Deeper
Watch the webinar How can organizations navigate a methodical path to trustable AI success? with Jason Hardy, Hitachi Vantara’s CTO for AI and Vik Iyer, CIO Marketing Services.
Learn about Hitachi iQ AI solutions stack for enterprise workloads.
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