AIOps is what every B2B organization desperately needs

Kieran Flanagan mentioned this last week as one of his 10 rules of marketing to live by. 📚

Of course, his Zapier team launched a great overview of AIOps and areas to implement in IT operations:

➡️ Machine learning
➡️ Natural language processing
➡️ Essential IT data
➡️ Big data analysis
➡️ Forecasting
➡️ Automation

As a B2B martech partner and an agency, we implement all of the above (and have been doing this for a decade).

We built credit calculators and statistical analysis tools for banks on top of WordPress. 🧮

DevriX implements BigQuery data pools for B2B vendors, publishers, SaaS partners.

Our forecasting and future analysis boilerplates rely on both historical data and market reports. 📊

My Growth Shuttle team spends half its time testing, integrating, and implementing different AI tools (we track down Slack communities, Discords, reddit, Product Hunt and test proactively).

We then carry successful experiments over to our agency and advisory campaigns.

One of my angel investments in CodeWell has already pioneered the space in Eastern Europe:

🎯 Telekom Austria Group automates 73% of online interactions with their chat bot
🎯 The government of North Macedonia launched ADA – the public assistant for the nation
🎯 A Slack assistant called DONNA – digital HR for employee questions
🎯 Automating the water supply and sewerage processes in Skopje with ANA

Everyone knows how slow government contracts are – yet successful AIOps tech is deployed in governments, municipalities, large telecom groups.

Why are SMEs still behind?