With the increasing amount of data and the increasing awareness of data-driven culture, global businesses strive to adopt a data science approach. Undoubtedly, data-driven intelligence has become the highest parameter to succeed in the digital world. However, Covid changed the world overnight. Most data science models became useless--at least for some time. Everyone raced to retrain and redeploy their existing data science models.

Learn why security needs to be integrated into every AI solution to ensure a smooth digital transformation that's safe from vicious cyberattacks on all fronts. After spending years as a data scientist and as part of data and analytics teams within HPE, I'm happy to see data and analytics careers ascend with the rise of artificial intelligence in both the IT and business world. Personally, it's been an interesting career journey that has gone from developing data models and analytics solutions to protecting them as a security practitioner of HPE GreenLake Cloud Services team. AI is perhaps the most used or even over-used term of the decade. The notion of AI has been a theoretical concept (and a fascinating movie theme) for many years.

The courses also prepare learners to take the CIPT certification exam.

As businesses struggle to combat increasingly sophisticated cybersecurity attacks, the severity of which is exacerbated by both the vanishing IT perimeters in today's mobile and IoT era, coupled with an acute shortage of skilled security professionals, IT security teams need both a new approach and powerful new tools to protect data and other high-value assets. Increasingly, they are looking to artificial intelligence (AI) as a key weapon to win the battle against stealthy threats inside their IT infrastructures, according to a new global research study conducted by the Ponemon Institute on behalf of Aruba, a Hewlett Packard Enterprise company. The Ponemon Institute study, entitled "Closing the IT Security Gap with Automation & AI in the Era of IoT," surveyed 4,000 security and IT professionals across the Americas, Europe and Asia to understand what makes security deficiencies so hard to fix, and what types of technologies and processes are needed to stay a step ahead of bad actors within the new threat landscape. The research revealed that in the quest to protect data and other high-value assets, security systems incorporating machine learning and other AI-based technologies are essential for detecting and stopping attacks that target users and IoT devices. Twenty four percent of Indian respondents said they currently use some form of machine-learning or other AI-based security solution, with another 29 percent stating they plan on deploying these types of products within the next 12 months.

As businesses struggle to combat increasingly sophisticated cybersecurity attacks, the severity of which is exacerbated by both the vanishing IT perimeters in today's mobile and IoT era, coupled with an acute shortage of skilled security professionals, IT security teams need both a new approach and powerful new tools to protect data and other high-value assets. Increasingly, they are looking to artificial intelligence (AI) as a key weapon to win the battle against stealthy threats inside their IT infrastructures, according to a new global research study conducted by the Ponemon Institute on behalf of Aruba, a Hewlett Packard Enterprise company. The Ponemon Institute study, entitled "Closing the IT Security Gap with Automation & AI in the Era of IoT," surveyed 4,000 security and IT* professionals across the Americas, Europe and Asia to understand what makes security deficiencies so hard to fix, and what types of technologies and processes are needed to stay a step ahead of bad actors within the new threat landscape. The research revealed that in the quest to protect data and other high-value assets, security systems incorporating machine learning and other AI-based technologies are essential for detecting and stopping attacks that target users and IoT devices. The majority of respondents from India agree that security products with AI functionality will help to: * Reduce false alerts (69 percent) * Increase their team's effectiveness (65 percent) * Provide greater investigation efficiencies (56 percent) * Advance their ability to more quickly discover and respond to stealthy attacks that have evaded perimeter defense systems (66 percent).

To Reward, We Must Measure. We start rewarding people for data protection activities. To reward people, we need to measure their deliverables. Traditionally we relied on security features embedded in applications to protect our data. But in modern data stories, data is used across many applications and end user tools.

The last year has seen a move by IT vendors to introduce increasing amounts of artificial intelligence (AI), machine learning and cognitive systems. How well the solutions meet the claims made by vendors is not part of this article. What is important is that companies are feeding these systems vast amounts of data to do advanced analytics. The advantage of using these systems is that they are able to deliver solutions far faster than data scientists and security analysts can. For business units, this is good news.

Tech companies are asking to step into doctors' offices with us, and eavesdrop on all the symptoms and concerns we share with our GPs. While doctors and other medical staff are bound by confidentiality and ethics, we haven't yet figured out what it means when a digital third party -- the apps and algorithms -- are allowed in the room, too. Healthcare isn't the place to mimic Facebook's former motto to "move fast and break things", or push regulations to see where they bend, a la Uber. Instead, patients need to trust who's in the consultation room with them, says Nathan Lea, senior research associate at UCL's Institute of Health Informatics and the Farr Institute of Health Informatics Research. "You want the individual to be able to share with the doctor or clinical team as much detail as necessary without the anxiety that someone else will be looking at it," he says.