three questions to help leaders identify a true ai solution

If you were the decision maker in 2018, intuition wouldn\'t cut it any more. Data-
The rest is a wise decision.
It is reported that we live in an era of exposure to 2.
5 bytes of data per day.
Yes, the sixth power is a real lot.
Thanks to exponential growth in computing power and new cheap data sources, we now have massive data.
All of this is evolving into meaningful information and giving us a 360-
Degree view of our clients-
In turn, businesses are driven to be more efficient, efficient and personalized.
Our job is to figure out what the data that exists in our organization means, and how we can take it as a modern competitive advantage and push our business in different directions.
If your organization values data, the question for ten years is, to what extent?
IDC expects AI software shipments to grow by 50% a year and reach $57.
6 billion to 2021.
Key leaders know artificial intelligence (AI)
It\'s no longer a good-to-
While necessary, they are often confused about how to determine a real AI solution and are unsure what questions to ask in order to make the right supplier fit their specific needs.
When everyone claims to be the latest and greatest AI solution, how do you distinguish between shiny new objects and long term collaboration
Terminology solution for best data-
Provide driving insights for your team? In my 25-
Plus years of leading new technology and IT teams, I learned to ask the following correct questions when evaluating AI
Power Solution: 1.
What does AI mean?
Artificial intelligence is a very extensive general term --
A wide range.
It can be used by one company to represent simple automation, while another could mean deep and complex learning.
It is impossible to know unless you ask. So, ask.
Some companies rely on programming data and just call it artificial intelligence (it\'s not).
I think all decision makers want to be data.
Business Intelligence (BI)
Artificial intelligence and machine learning (ML)
More time.
BI is reviewing your data and ML is predicting the future.
When ML uses a fine detail brush, BI draws the picture with a wide stroke.
If you want to be data
BI and analytics can do this in your business, but if you need complex predictive intelligence in your business, ML should be your top priority.
Machine learning allows machines to learn from data and make decisions or predictions that can be very complex and unintelligible to humans.
That\'s why complex organizations can go a step further. only advanced ML technology can provide this element.
If AI vendors talk about using machine learning in their solutions, don\'t be afraid to ask them about the depth and extent of using machine learning.
The machine is learning, but it was originally learned from human input.
You need people who, for the right reason, enter the right data at the right time and be able to explain to you fluently what that data means to your business. 2.
Why do we need artificial intelligence to solve this problem?
Why do we need artificial intelligence to solve specific business problems that cannot be solved by existing methods?
What\'s the danger if I don\'t use AI?
Is it enough to convince me that my organization must have it?
Find out what the value is-
Increased collaboration with specific AI solutions.
These should be simple answers for suppliers.
That is the basis of their entire business model.
Their solution gives you valuable assets.
Invest in a partner that can grow with your company, not just add a temporary spark --
A solution that continues to make your employees smarter and more effective, breaking the barriers to your current process and becoming more efficient, effective and innovative.
Learn to discover signs of \"shiny new tools\" vendors: they are unable to explain in relevant terms why their solution is essential and how it saves money and improves return on investment.
They can\'t explain how it leverages your internal assets while improving your processes and people.
All they can explain is how to cut.
Their UI is beautiful. 3.
How does artificial intelligence make a decision?
Artificial intelligence can be confusing.
We should be able to see or hear clearly. by-
Their algorithm is taking steps to make a decision.
Let your AI vendor explain this to you in easy-to-understand terms.
Your data is in their hands!
You have to know what they\'re doing with it.
Data integrity and governance play a huge role here.
Just as general data protection requirements are critical to protecting customer data in the enterprise, providing clear algorithm strategies and validation is critical to protecting customer data and trust as an AI vendor.
Ask the question: how is your result verified?
How to solve your bias?
What is your learning rate?
Will your platform be able to learn over time?
Almost everyone\'s smart solution provider will have a product roadmap with upcoming features, features, and plans.
Make it clear what, why, how each part is, because their roadmap will be your roadmap.
What suppliers have now is important, but what they desire and strive to achieve is a valuable and reliable solution partner.
We need computers to keep up with innovation. computers need constant human intervention to provide strategic and high-quality data. The game-
When we can cooperate successfully, it will change.
AI meets the actual needs of humans and makes your company go further than you thought before, and the right supplier will help you achieve that.