AI innovation market thrives for a reason – enterprises need cutting-edge integrations to attain persistent growth in tight competition. The IBM Institute of Business Value report reveals that most advanced AI adopters meet a 6.3% increase in direct revenue on average.
On top of that, AI solutions for business users unlock unparalleled productivity across a variety of operations. Let’s overview some of the core AI innovations most COOs should harness to elevate employees’ productivity and how to recognize top-tier products among them.
4 Types of AI Tools to Supercharge Business Activities Today
The transformative power of AI isn’t simply reduced to predictive data mining and content generation. On the one hand, these genuinely smart and flexible tools can automate a hell of a lot of routine tasks, speed up research, and develop a handful of templates for reports. On the other hand, they can guide strategic decision-making with actionable insights.
Businesses currently adopt four types of AI-powered tools to scale up operations and fast-track task resolution.
1. Data-Collecting AI Systems
AI-driven platforms can centralize and streamline essential information utilized by business users. Centralized knowledge bases augmented with search AI assistants ensure consistency and a holistic view of enterprise wisdom.
On the whole, machine learning algorithms now aggregate data from disparate sources and interpret it meaningfully. AI assistants can build marketing trends indicating consumer behavior and overall sentiment from this refined data.
2. Generative AI (GenAI)
Generative AI can take on a tremendous scope of work, unburdening content makers, designers, and even product teams. The Large Learning Models (LLMs) became the most sought-after AI products for business use as they back up a variety of operations:
- Text content and code generation and editing
- Customer sentiment analysis with chatbots
- Generation of creative ideas to offset creative exhaustion
3. Analytics Platforms
Today, financial and insurance industries leverage the analytical and predictive potential of machine learning models with full power. Risk assessment software has incremented precision and productivity in sales, trading, and consumer loan markets.
Risk analysis is no less important in modern fraud detection systems and marketing. Financial institutions can recognize abnormal data behavior patterns and decline murky transactions in the first case. In the second one, marketers and salespeople can reinforce their go-to-market strategies with solid analytical data on future sales trends.
4. Decision-Making Co-Pilots
AI co-pilots successfully address decision fatigue in the business domain. Their ability to prioritize tasks based on broad analytical data can help users tackle both daily tasks and strategic planning.
For instance, marketers can already benefit from programmatic advertising. AI-powered platforms can automatically determine the best ad placement options based on cost-efficient PPC bidding and proper audience reach.
Operational Enhancements Unlocked by AI Solutions
Implementing AI productivity tools eases workload, increases employee and customer satisfaction, and reduces operational costs. Generally, the AI-driven operational enhancements are represented by:
- Personalized Customer Experience. Integrated AI assistants and chatbots fulfill customers’ expectations for timely and understandable support. By analyzing historical customer data, these AI helpers provide prompts and generate content that is always to the point.
- More Agile and Productive Workflows. COOs target the most time-consuming and multi-step tasks with AI integrations. Automated QA testing is probably the most productive area of AI tool implementation. However, there’s more to it. ML software can create email templates and inventory reports, optimize supply chains, and edit audio-visual content.
- Better Discoverability on Internal Knowledge. As internal enterprise data amasses dramatically, businesses might struggle with keeping it well-structured and actionable. Thanks to AI-powered enterprise search, organizations can simplify the discovery of relevant information and share their internal wisdom across departments.
- Greater Precision of AI-powered Analytics. Deeper insights and greater precision of AI-powered analytics allow decision-makers to navigate their businesses resiliently. It’s a truly cutting-edge approach that fosters the development of high-demand products and efficient risk management.
That said, optimizing business operations through AI-augmented practices requires common sense and strategic thinking. Therefore, experienced AI productivity tool adopters strongly recommend first-timers find a dedicated AI coach. COOs will also benefit from involving “lateral thinkers” in discussion. Team leaders can enrich the initial vision of how to automate this and that.
4 Must-Have Features of AI Productivity Tools for Business
There are a couple of points about AI productivity tools that every COO must consider before the purchase decision:
- Quick Plug. Delve into use cases and analyze customer reviews. Thus, you’ll ensure that AI products support seamless integration with your current suite of tools.
- Scalability. The AI software must lay the foundation for a scalable and growth-oriented operational model. Make sure that it will sustain a high performance even under heavy loads.
- Data Privacy Compliance. Find out whether the selected product is SOC-2 and GDPR compliant. Independently pentested solutions generally deserve more trust.
- Vendor Support. Accessible vendor support can assist whenever you need consultancy on implementing an AI tool in a new use scenario or integrating it with another type of ML software.
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