Marketing, Business and Professional Development

  • State of Low-Code Machine Learning in 2026: Why Deployment Takes 4.5 Months
    by sjoshi2@g2.com (Shalaka Joshi) on August 28, 2026 at 7:53 pm

    TL;DR: Everything you need to know about low-code machine learning deployment According to G2's analysis of 3,400+ verified machine learning platform reviews, low-code ML platforms take an average of 4.5 months to go live, the slowest time-to-deployment of any machine learning category on G2, and 2.6x slower than data labeling tools at 1.7 months.Enterprise buyers of low-code machine learning platforms wait 5.47 months to go live versus 2.75 months for small businesses, and once live, adopt the fewest licensed seats, at 35.5% against 49.0% at small businesses.   All four vendors surveyed independently named the same breaking point for non-technical users: integration into production systems and existing data pipelines. Three of four vendors report AutoML cuts time-to-deployment by more than 75%, a claim G2's verified deployment data does not support at the category level. Pecan AI, Acodis, and Minitab report the 75%+ reduction. Kili Technology noted results vary significantly by use case.

  • AI in Audience Intelligence Platforms: What 600+ Verified G2 Reviews and 3 Leading Vendors Reveal
    by jjung@g2.com (Julie Jung) on August 27, 2026 at 10:47 pm

    Key Findings Search and summarization lead AI usage. According to G2’s analysis of 600+ verified Audience Intelligence reviews, these were the most mentioned AI capabilities that account for 58% of all described AI use for the category. Campaign performance is the outcome buyers attribute most to audience intelligence. Three vendors surveyed identified stronger engagement, conversions, and creative effectiveness as the results customers most commonly credit to these platforms. AI adoption in audience intelligence remains concentrated in a narrow set of use cases. 26% of G2 reviewers reference AI capabilities used today, while 18% of those reviewers noted falling short or going unused. Agentic AI shows promise, with market readiness evolving. Two of the three vendors surveyed identified agentic AI as a defining force for audience intelligence by 2028, while an emerging 1.2% of G2 reviews today currently mention agentic workflows.

  • Transparency in B2B Branding with Focus Lab’s Bill Kenney [Video]
    by Alexandra Vazquez on August 26, 2026 at 3:39 pm

    If people can’t trust you, then what’s the point?

Marketing Pointers

Is Your Business Scalable?

Scalability is essential for business growth, efficiency, and long-term success. A scalable business model allows companies to meet increasing demands, optimize costs, adapt to changing market dynamics, and attract investment. By constantly evaluating and enhancing scalability, businesses can effectively navigate the ever-changing landscape and achieve sustainable growth.

It Pays to Listen!

 

“Listening” is the number one trait of master networkers. In the social media world “listening” means paying attention, having your antennas up, knowing when and how to respond to what’s going on around you. A good “listener” is better equipped to ride the waves of opportunity as well as avoid the pitfalls of misfortune. As listening skills increase, expect to see an increase in marketing efficiency and a decrease in outcome volatility.

Charge More, Work Less! Thanks, “Branding!”

Did you know that consumers will pay more for a popular brand than a no-name brand? Consumers will also buy a popular brand more often, whether they need it or not. Advertising is understandably required for immediate, direct-action sales, but another important benefit is the long-term branding of your service into the minds of consumers. (more…)