Choosing the best AI tools for your business and data analysis depends on your specific needs and goals. However, I can provide some insights into the strengths and weaknesses of the tools you mentioned:

Tableau: Primarily a data visualization tool, Tableau excels at creating stunning and interactive dashboards and reports. It's user-friendly for non-technical users but might lack advanced analytics capabilities.

DataRobot: Focused on automated machine learning, DataRobot can quickly build and deploy predictive models without requiring expert data science skills. However, it might offer less control over the modeling process compared to more technical tools.

Locobuzz: Specializes in social media listening and analytics, providing insights into brand sentiment, customer feedback, and campaign performance across various platforms. It's a good choice for businesses heavily reliant on social media engagement.

Speakai: Primarily a text analytics tool, Speakai helps analyze customer reviews, emails, and other unstructured text data to extract insights and trends. It's valuable for understanding customer sentiment and improving communication.

Heavy.ai: Focuses on large-scale data processing and analysis, particularly suited for handling massive datasets in cloud environments. It's powerful but requires technical expertise to use effectively.

Akkio: An AI-powered sales assistant, Akkio automates tasks like lead qualification and follow-up emails, improving sales efficiency. It's a good choice for businesses wanting to streamline their sales process.

Coefficient: Offers a platform for building and deploying custom AI applications without coding. It's user-friendly but might lack flexibility compared to coding-based solutions.

Choosing the right tools:

• Consider your needs: What specific data analysis tasks do you need to perform? Are you looking for visualization, prediction, social media insights, or something else?
• Technical expertise: How comfortable is your team with AI and data analysis tools? Choose tools that match their skill level.
• Budget: AI tools can vary significantly in price. Consider your budget constraints and choose tools that offer good value for the money.
• Scalability: Will your data analysis needs grow over time? Choose tools that can scale with your business.