With AI data, the business sector hit gold – but there are a few extra steps involved
ZDNet takes a look at the AI and Machine Learning predictions, in what the business environment is concerned. Expected to surge in 2019, the rapid adoption of these new technologies also brings different business challenges.
The article mentions the necessary (and huge) shift that is absolutely required for organizations to thrive. Going from buying “black boxes that will fix our problems and offer us solutions” – as the publication puts it, to the next stage, won’t be easy.
A passive attitude welcomes possible cases of “algorithm sprawl, project management issues, and vendor hype”.
But what modern, wise organizations do? How can we all avoid the so-called bad implementations of AI & ML?
Who will have to handle AI data?
Since data science is not a magic trick – although sometimes it may seem so – in order for it to work, key people in your company come in. Apparently, “everyone from mid-level managers to C-level execs are going to use this AI”. They also need to understand how to use it, to be prepared and aware of this new age of technology.
Therefore, determining who will work with your AI data is absolutely necessary. You need the big picture before going into details. However, getting the right big picture requires experience.
Use experts – get consultancy as an ally in this big battle. You want to understand what will be going on, and someone who can put the process into perspective can make you go a long way. Having worked with systems, apps, connected data, Artificial Intelligence and data science, professional consultants can provide a reliable blueprint. How will it work for my business? The answer to this is much more accurate when you obtain it with the right guidance and assistance.
What does your AI data need to provide answers for?
As the article we’ve mentioned lists, operating Big Data generates effects that go beyond the lucrative insights.
You will also need to have a strategy and to deliver reports to your board.
As the process evolves at a global level, you will need to choose the most suited AI services pack – from the big tech cloud providers.
Data scientists are still scarce, and the models you will be dealing with lack transparency.
The AI-trained professionals are also scarce, and this specialization just made its way into the academic curriculum. For now, hands-on experience prevails.
Your AI data needs to provide answers and guidelines for all of the above, and more. You will be working with a tool with huge potential that you barely understand. Nevertheless, you need to move relatively fast while making the best choices. The AI tools unleash their potential on the go. Add an extra layer of software solutions – and you have a new functionality. Get on board with the best cloud provider, and you will be able to deploy your tools next-level style.
Prepare for the next step, by getting a partner that understands the new technology
It’s not only AI. As we’ve seen, it’s also Machine Learning, Big Data, algorithms, analytics, IoT, embedded sensor software, various layers that have to integrate with each other.
Working all these out into the strategy of your company, while resetting certain functionalities and expanding others – this won’t be easy.
As all things good and new, as overwhelming as it may seem, it needs to be done. The sooner, the better. Make the first step and choose a reliable software partner, one experienced in business digital transformation. Call, talk, schedule the meetings you need, soon you will have a whole new perspective on the matter.
We are here for you – our know-how and experience are both rich, and our eagerness and innovative spirit are the right match for this future of technology.
Contact us and let’s find out more about how a potential partnership may look like, and what it can do for both of us!