If 2018 was the year of reckoning for AI and machine learning platforms making it straight into the CIO’s business stack, 2019 is slated to be even more dramatic with 82% of global businesses readying their talent hiring strategies for AI and Machine Learning experts. It may seem that adding AI in your biodata by joining a AI and Machine Learning course is just a hype. But here is the stat that would beat the hype—
90% of the Big Data companies in 2019 would need 6000+ trained data science experts and Big Data storytellers with serious focus on AI adoption and value creation for businesses considering investments into the Internet of Things, Data Visualization, Contact Centers, Intelligent Assistants and Natural Language Processing.
If you are looking to build a career advantage with AI and Machine Learning, here’s what you should know about—
Era of Robotics and Self-Driving Autonomous Vehicles
Robotic automaton has moved beyond the four walls of manufacturing sector. Today, AI-driven cars and drones are grabbing eyeballs with their spark and ability to simplify human tasks. In the US, 75% of adult human population said that they would prefer to drive in an autonomous vehicle compared to one driven by a real human.
Simply put, top car manufacturing companies are partnering with AI and machine learning course providers to build strong error-free algorithms for their autonomous car projects.
Top players in the field-
If you are an engineer and love to work with industrial tools and vehicles, getting a certificate in AI and Machine learning course for Automobile Automation would be a valuable addition.
The next generation of cybersecurity would be truly distinguished from its predecessors by virtue of the level of AI and machine learning tactics embraced by IT security professionals.
As the cost of security breaches continues to break thresholds year after year, businesses have finally identified the value of including security tools to fortify their organizations. While most traditional security tools focus on identifying malware attacks only when they have entered or interacted with the firewall systems, AI and Machine learning-based tools have a predictive and prescriptive intelligence to mitigate risks.
The capabilities of cyber-security tools are best leveraged with their AI-driven Predictive analytics, directly improving chances of security recovery against malicious attacks.
Strengthen Content Discovery Workflows to fight Fake News
If you are online, you would already know the veracity of real-time data and news content going viral in less than an hour. Irrespective of the source of content, AI algorithms built by certified programmers in machine learning for content discovery help filter out fake content out of the online search engines. Companies like Google, Yahoo! And Baidu are heavily invested into building powerful Image and Text Discovery tools to improve sponsored and User-generated content, and prevent fake new phenomenon.
These efforts are driven by a team of experienced professionals certified by AI and machine learning course institutions.
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