We are entering a new era where AI is accelerating business transformations across every industry, creating new challenges and opportunities, and changing how businesses of all sizes define success. Leaders are looking for ways to find AI-optimized value by improving operations, enhancing customer experiences, and driving innovation in products, services, and business models that keep their companies ahead of competitors.

93%

Leaders must understand that success with AI requires a clear vision, a strong strategy, and collaboration with trusted experts. As a Microsoft partner, we can get you prepared for AI innovations by guiding you through the evolving technological landscape. The world is changing, and technology is advancing; seize this opportunity to lead AI transformation with us and make a meaningful impact on your business.

In today's data-driven economy, AI has emerged as a catalyst for transformation, offering unprecedented opportunities for leaders to redefine their operations, enhance efficiency, and gain a competitive edge in the pursuit of innovation and growth. One of the biggest drivers of AI success is the degree to which leaders have defined, organized, and prioritized a clear path of strategic goals.

While there is no one AI approach for all organizations, we have seen that there is a common journey that all businesses take as they build toward AI success.

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Exploring

Learning about AI and experimenting with different uses

Artificial Intelligence (AI) offers a multitude of opportunities for companies to innovate and enhance their presence and operations. By leveraging AI, companies can streamline processes, improve customer experiences, and drive business growth.

Here are some key areas AI can make a significant impact:

1.     Automation and Efficiency: AI can automate repetitive tasks, freeing up valuable time for employees to focus on more strategic activities. For instance, AI-powered chatbots can handle customer inquiries, retrieve data in a timely fashion or scheduled execution and record it where needed, while machine learning algorithms can optimize supply chain operations.

2.     Data Analysis and Insights: AI can process vast amounts of data quickly and accurately, providing companies with actionable insights. This can help in making informed decisions, identifying trends, and predicting future outcomes.

AI can analyze customer behavior to personalize marketing strategies or compare financial data to determine advantages as well as detect anomalies in financial transactions to prevent fraud.

3.     Product and Service Innovation: AI enables the development of new products and services that were previously unimaginable. Companies can use AI to create intelligent applications, such as virtual assistants, recommendation systems, and predictive maintenance tools. These innovations can enhance customer satisfaction.

AI can measure response thresholds and perform actions based on volumes or triggers to react to perform actions based on inventory levels or financials thresholds to react faster.

4.     Enhanced Customer Experience: AI can significantly improve the customer experience by providing personalized and timely interactions. For example, AI-driven recommendation engines can suggest products based on customer preferences, while sentiment analysis can help companies understand and respond to customer feedback more effectively.

Collecting data from a website for example to see what traffic paths were selected for topics, pages, articles, or survey venues preferred by visitors. 

5.     Competitive Advantage: By adopting AI, companies can gain a competitive edge in the market. AI can help in optimizing pricing strategies, improving product quality, understand behavior patterns and compliments, and accelerating time-to-market.

Additionally, AI can assist in identifying new business opportunities and staying ahead of industry trends.

Microsoft CoPilot

Business leaders must prioritize defining business objectives and aligning use cases to unlock the full value of AI. By clearly outlining goals and identifying business units where AI can drive impact, organizations can ensure consistent value is generated by connecting AI initiatives to broader business objectives.

This strategic clarity is crucial given the vast applicability of AI across diverse functions such as process optimization, content generation, procurement, and supply-chain optimization.

The pace of AI innovation has captured the imaginations of people around the world. It has also intensified many of the biggest questions leaders face when seeking to optimize AI value.

Is the infrastructure in place to ensure secure, rapid, and scalable data access required for AI applications?

Given the primary use cases defined by our business strategy, should we buy, build, or modernize AI applications?

What criteria should guide the decision between on-premises or cloud hosting for data and
AI applications?

As you work through these questions, it is important to know that EIS IT Consulting can help you determine what technologies align with your unique use cases. Whether you’re pursuing a prebuilt approach, doing everything in-house, or following a hybrid model, we know that your AI readiness is determined through a fully realized technology strategy.

Leaders should be asking themselves three key questions:

- Jason Price

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“Rather than starting by asking what AI can do, we need to turn the telescope around and ask, ‘What are you trying to do in your business, and how can AI help?”

For AI to improve customer and workforce experiences, businesses must be proactive by creating supportive operating models that foster a culture of agility and experimentation and are backed by leadership support.

To drive business value with AI:

• 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.

customer experience optimization 

By harnessing the power of AI-driven analytics and machine learning algorithms, businesses can gain deep insights into customer behavior, preferences, and sentiment analysis. For instance, LALIGA is taking advantage of next-generation AI to deliver innovative fan experiences by reimagining data and AI at scale to drive customer loyalty and revenue growth.

One compelling example of AI’s impact in

This e-book emphasizes the significant impact of AI on business and provides insights to guide leaders in navigating AI strategy confidently. It explores five key categories crucial for driving foundational value with AI, empowering leaders to realize success.

• Business Strategy

• Technology Strategy

• AI Strategy and Experience

• Organization and Culture

• AI Governance

Together with EIS IT Consulting you can accelerate progress on your AI adoption whether you are just embarking on your AI journey or establishing your transformation.

1. IDC Infographic, sponsored by Microsoft, The Business Value of AI, doc #US51315823, November 2023

2. Building a Foundation for AI Success: A Leader's Guide - Microsoft 2023

3. Paid Program: Lessons From Enterprise AI Pioneers (wsj.com)