While no one knows precisely where artificial intelligence (AI) will lead, experts agree that using its power for business operations<\/a> is a present-day necessity. We explore how businesses can harness AI\u2019s power to drive growth, efficiency and effectiveness.<\/p>\n At its core, AI is a technology that simulates human intelligence processes. Like humans, it learns from data, reasons to reach conclusions, and self-corrects. But how can you translate these capabilities into tangible business benefits?<\/p>\n The answer lies in AI\u2019s ability to process vast amounts of data rapidly and accurately.<\/strong> This processing enables businesses to make data-driven decisions, enhance their operations, and create personalized customer experiences. However, businesses need a well-planned AI strategy<\/a> and robust data governance<\/a> to unlock these benefits.<\/p>\n AI strategy development includes identifying business problems AI can solve, defining AI use cases, and creating an implementation roadmap.<\/p>\n First, businesses should prioritize problems that AI can address and develop detailed use cases for how AI can solve them.<\/strong><\/p>\n For instance, if your company struggles to retain customers, your business can define an AI use case for analyzing consumer behavior data to predict and prevent customer turnover. Similarly, AI can help with employee retention, too. You might define a use case that combines quantitative data \u2014 like employee absentee rates \u2014 with qualitative data from employee survey results. AI can identify patterns for thousands of employees within seconds.<\/p>\n Your implementation roadmap should then lay out the steps required to implement the AI solution. How will you roll it out? How will you collect the data? What will your training model look like? How will you test and validate the output? You should also assess the tools you already own for built-in AI capabilities you aren’t using before purchasing additional capabilities.<\/strong><\/p>\n For example, generative AI features similar to ChatGPT are often built into CRM software and other digital solutions. Explore them first to see if they will meet your needs before adding new tools to your stack.<\/p>\n While AI strategy development is crucial for long-term growth, businesses can benefit from immediate productivity gains<\/a> by integrating AI into their daily operations. AI can automate routine tasks, provide intelligent insights, and enable employees to focus on high-value activities.<\/p>\n One way to enhance productivity is through AI-powered tools created for task automation<\/a>, like UiPath or Microsoft Power Automate<\/a>. For example, AI can automate email sorting, calendar scheduling, and even customer service. These tools can significantly reduce the time spent on administrative tasks, allowing employees to concentrate on more strategic work.<\/p>\n In addition, AI’s capability to analyze large datasets can uncover insights that might otherwise go unnoticed. Businesses can use AI to identify patterns that provide the basis for predictive analytics, market-trend forecasting, and informed decision making.<\/strong><\/p>\n AI technologies like ChatGPT<\/a> are also shaping the future of work. These generative AI systems use natural language processing to understand and respond to human queries, assist with content creation, and even help decision-making processes.<\/p>\n Microsoft Copilot<\/a> is a good example of integrating AI into employees’ daily work lives. Microsoft owns OpenAI, the company that created ChatGPT, and it has used the tool\u2019s large language model (LLM) technology to deploy AI throughout its Microsoft 365 suite. Copilot subscribers can perform countless tasks using data stored in Outlook, Teams, Dynamics 365, Power Platform, and more. With a simple human query, users can retrieve, synthesize and summarize vast amounts of data stored in multiple locations and files.<\/p>\n Integrating generative AI<\/a> like ChatGPT into the workplace can significantly improve efficiency and productivity. It can also create new roles centered around AI management and ethical considerations.<\/strong> After all, while AI can do a lot, it can only be trusted to do everything with human oversight.<\/p>\n Chief information officers are taking on more responsibilities as the need for AI management and data governance increases. Multiple new positions are emerging to analyze AI input and output to achieve the highest quality results. An essential part of these employees’ jobs will be overseeing AI’s lifeblood: high-quality, well-governed data.<\/p>\n Data governance is necessary for managing data availability, usability, integrity, and security. With proper data governance<\/a>, businesses can avoid making decisions based on inaccurate or incomplete data, leading to disastrous consequences.<\/p>\nUnderstand AI and Its Potential<\/h2>\n
Develop an AI Strategy for Business Growth<\/h2>\n
Supercharging Productivity with AI: Tips and Tools<\/h2>\n
AI’s Rising Role in the Workplace<\/h2>\n
The Role of Data Governance in AI Implementation<\/h2>\n