Are you going to work with #BigData ?
Make the homework first. Learnings from working with #BI give us the knowledge of garbage in - garbage out.
With #AI you can do this at a much higher rate… think twice.
With the ability to run fast, the direction is even more important 🤥
ML isn’t magic — it’s a workflow. 🧠⚙️
1. understand data
2. choose right algorithm
3. train
4. test
5. optimize
6. deploy + monitor + retrain
The winners are the teams who run this loop consistently.
#MachineLearning#AI#DataScience#MLops
Have you ever tried to take a Meta view on your use of skills in different situations?
In the trust that this is an overview of useful skills (try using Critical Thinking), then when to learn?
Have you planned or are you going to plan the next timeframe for learning?
Are you aware of how the security landscape and threats are changing over time?
Do you have a plan on how you company and team members are learning at the same time as you develop new solutions?
#AI#BI#Data#BusinessIntelligence
Have you ever tried using AI to learn faster?
You could accelerate your pace by using just one of the below commands.
Feel free to test any one of them. Please share if you have testet one already, and share your experience.
#AI#CyberSecurity#ML#Data#BI#LearningTogether
By first this look very cool, but please zoom in a bit… I need your help to see the details. Help me point out a valuable way to use this overview.
It looks amazing, and I like the art in it👍
#value#AI#BI#Data#DataScience#IIoT#DataAnalytics#weekend
A fantastic opportunity to dig into the components of #AI for boomers AI isn’t that new… but it is a combination of what is already in the toolbox.
Show this to your father or son, and see the communication take place.
Understand the future together ❤️
#Data#Development#BI
A rear example of the use of AI to build an app in hours. In Denmark the election was announced to be held the 24th of March.
Hours after the announcement, this app was launched.
#Ai#VibeCoding
Interesting view on the future jobmarked. How do you prepare being working in the #Top5 or #Top10 ?
Are you company already looking into hiring someone with these qualifications?
Looking forward to see what job opportunities our kids will have in 2060?
#AI#ML#LLM#BI#GenAI
Now we are bringing #AI to your service as #agents. You have heard it before, but got confused by the fact that it is hard to connect the dots, when you talk with different people about the topic.
Here we are starting to differentiate between the types of #AIAgents#GenAI#Help
Not all AI agents are built the same. So what sets them apart?
Here’s a breakdown of 10 core types of AI agents you’ll come across in real-world systems, from simple reactive agents to complex multi-agent systems.
1. Task-Specific AI Agent
Built for one focused task like summarizing or translating. It follows a fixed process with no learning or adaptation.
2. Reactive Agent
Responds to immediate input without using memory or history. Think of it like a reflex - it reacts, not plans.
3. Model-Based Agent
Builds an internal map of its environment. Simulates outcomes before acting to make smarter, context-aware decisions.
4. Goal-Based Agent
Starts with a goal and works backward. It plans steps, simulates paths, and selects the route that achieves the goal.
5. Utility-Based Agent
Chooses actions based on how beneficial they are. It weighs all options and picks the one with the highest value.
6. Learning Agent
Improves over time by learning from past actions. Adjusts its strategy using feedback and stores new knowledge.
7. Planning Agent
Focuses on long-term strategy. It defines a goal, maps out steps, and adjusts based on progress not just reaction.
8. Reflex Agent with Memory
Uses preset rules but with added memory of past inputs. Helps respond better when situations repeat or evolve.
9. Multi-Agent System Agent
Works with or against other agents. They share environments, negotiate roles, and coordinate to reach a bigger goal.
10. Rational Agent
Always selects the most logical option. It analyzes the full picture, predicts outcomes, and chooses the smartest path.
Save this if you're exploring Agentic AI or designing intelligent decision-making systems.
Are you and your company doing structured testing?
While #VibeCoding is used in many parts of the code in greater systems, the need for testing is becoming crucial for the long-term maintenance budget, and regarding #cybersecurity, small holes can be an issue.
#AI#BI#DW#ML#BA
Would assume that there also was an overlap between #AI and #ImageProcessing otherwise this is a very good overview of the modern #EcoSystem
Please help highlight by commenting on this, if you see any other examples of missing connections.
Please explain how you see it 😎👍
Interesting overview showing #GenAI as the classic way of writing an academic report. Are you seeing the same?
How do you see the change to #AgenticAI and #AIAgents ?
Back in the days solving a task for a 20000 employee company, the solution was build in the layer of #AIAgents… now develop solutions for small companies using solutions from the layer of #GenAI.
What layer are you using for what solutions? #BI#ML#IoT#IIoT