Tecnuto's Knowledge Hub
Incorporating AI in Business
The first steps towards incorporating AI in business include defining the type of AI product offering, use case identification, and a killer marketing strategy.
Commercializing AI and Organizational Structure
How to go about commercializing AI, and what’s the underlying operating model? The key lies in the four interconnected organizational pillars. Let’s explore.
AI Bias and Ethical AI
AI bias is a feature, not a bug. It can be a measure of societal progress though. Consequently, we don’ need ethical AI to fix AI bias. Let’s unpack that.
Achieve ROI for AI Projects: A Comprehensive Guide
While countless companies across the globe are investing billions of dollars into AI projects, how to achieve ROI for AI isn’t always clear. Let’s change that.
Machine Learning and AI in Wireless Networks
Wireless networks are faced with massive capacity and coverage requirements, and increasingly complex usage scenarios. AI is here to save the day. But how exactly?
AI Product Management: The New World
What skills are needed to be an AI product manager? How does AI product management differ from traditional product strategy? What is the recipe for success? See how it all comes together in this comprehensive guide on product management for AI products and services.
Artificial Intelligence in M&A and Deal Making: Opportunities and Challenges
AI is disrupting deal-making and due diligence processes. In this article we discuss the opportunities and challenges of artificial intelligence in M&A.
Top 7 B2B AI Use Cases in Sales and Marketing (With Examples)
B2B sales and marketing are two of the most challenging areas. The right B2B AI use cases will enable you to set yourself apart and gain a competitive advantage.
8 tips for AI business development
What does AI business development entail? The challenge is not around implementation but rather how businesses can use AI to create a competitive advantage.
AI Use Cases in Telecom: A Long List
The telecom industry deals with myriad data sources ranging from network design and operations to an extremely diverse set of customer data. Businesses need to proactively manage this data in order to be able to set up and optimize the right infrastructure and devices and sell the right products or
