Have you taken advantage of generative artificial intelligence and advanced machine learning to scale revenue, reduce your costs, and speed your response to the market? Kickdrum uncovers immediately accessible and short-term “force multipliers” along with longer term opportunities designed to:

• Automate tasks for operational efficiency

• Incorporate predictive analytics for forecasting mastery

• Identify threats for risk management

• Personalize the customer journey for higher satisfaction and loyalty

WHAT TO EXPECT

With so many ways to incorporate AI, what will have the greatest impact on your business and enterprise value? Kickdrum’s experts in data science, pipelines, predictive analytics, and intelligent automation identify key opportunity areas including:

• Product enhancements: Weaving artificial intelligence into offerings to better analyze date, automate or personalize customer support, or differentiate products via features, speed, or scalability

• Supercharged engineering: Accelerating developer productivity in creating code, building new features, fixing bugs, or testing products

• Monetizing data: Analyzing your data assets to gain insights and even create new product categories based on key learnings

• Mitigating risk: Whether you are planning to use AI or already using it, Kickdrum can review and uncover potential risks to data and corporate safety and security

HOW IT WORKS

Kickdrum’s approach to AI Opportunities combines leadership and customer interviews, technology and project roadmaps, industry research, and additional inputs to assess people, processes, data, architecture, operational burdens, and security and compliance issues. Within a few weeks, Kickdrum delivers  a full AI opportunity assessment, recommends projects and personnel for transformation, offers prescriptive data and tool guidance, and delivers cost, timing, and ROI estimates.

WHAT YOU GET

Kickdrum AI Opportunity Assessment offers a comprehensive assessment of your AI and ML opportunities for product enhancement, developer efficiency, data monetization, and risk mitigation. The assessment also  includes a full evaluation and recommendation of  commercial and/or open source tools and AI adoption models.