DataGig

Artificial Intelligence (AI) is arguably the most revolutionary technology in several decades that would completely turn the world upside down and then shape it along with new contours.
Here’s a list of top AI trend to watch out for in 2019.
AI chipsets: This year, leading chip manufacturers like Intel, NVidia, AMD, ARM, Qualcomm will make chips that will rapidly enhance the speed of ex*****on of AI-based apps.
Confluence of AI and IoT: AI and IoT will increasingly converge at edge computing.
Rise of Automated Machine Learning: Machine Learning would undergo a radical change with the arrival of AutoML( automated Machine Learning) algorithms.
Cybersecurity and AI: This will transform the way organizations look at cybersecurity.
AI skills: There is a big gap that companies are finding it hard to overcome: the AI skills gap. ( help solve this problem)
Automation of DevOps through AI: Deploying AI in IT operations will help them perform tasks in shorter time and get at the root of the problem quickly.
Neural Network Interoperability: Interoperability in neural networks is an impediment in the path of AI adoption.
Open source AI: Multiple companies would start open sourcing their AI stacks for building a wider support network of AI communities.

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Much of the difficulty companies face in hiring data science & machine learning talent comes from an incomplete product strategy. Businesses know they want to build products & services with AI but don’t have a roadmap laying out exactly what they’ll be building.
That uncertainty forces them to hire expensive generalists who can build whatever AI systems the company might need instead of specialists who are experts at building exactly what the business requires.
An AI product strategy clearly outlines what projects will best support the business goals. That makes sourcing talent a targeted effort that considers both near & long-term project needs. The lengthy, hard to source generalist job descriptions are replaced with narrow specialist roles. Those are far easier to source & build teams to support.
There are several downstream impacts from an incomplete AI product strategy & generalist hiring is one of the most expensive.