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IT Leaders Consider Security Tech a Part of Business Transformation

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With new threats disrupting business operations and an increasingly strict regulatory environment, security is no longer a risk mitigation activity or a growth inhibitor. Rather, information security is increasingly being viewed as strategic business enabler for the enterprise. That is evident in IDG's 2022 State of the CIO Survey, where IT leaders and line of business (LOB) executives were asked which technologies they expected to have the greatest effect on how their company functions over the next few years. While the respondents list the usual suspects – big data/analytics, AI/machine learning, and cloud infrastructure – in the top 3, 19% say identity and access management has the most potential to significantly impact business operations. In a distributed world, identity and access management (IAM) is instrumental in managing security in a cloud-based world, which makes its placement between cloud infrastructure and cloud databases (picked by 17% of respondents) appropriate.


The Role of an AI Architect

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Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. Discuss the feasibility of use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation. At the same time, bring attention to misaligned initiatives and impractical use cases. Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders -- business users, data scientists, security professionals, data engineers and analysts, and those in IT operations -- and developing processes and products based on the inputs. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.


Facebook and the Importance of Responsible AI

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Does the recent flurry of headlines about Facebook and the negative outcomes produced by its algorithms have you worried about the future and the implications of widespread AI usage? It's a rational response to have during an alarming news cycle. However, this situation shouldn't be interpreted as a death knell for the use of AI in human communications. It's more of a cautionary example of the disastrous consequences that can occur as a result of not using AI in a responsible way. Read on to learn more about ethical technology, data quality, and the significance of human-in-the-loop AI.


Toshiba expands Elera commerce platform with AI vision, IT microservices and data analysis

ZDNet

Toshiba Global Commerce Solutions this week announced a major expansion of its Elera commerce platform that first launched one year ago. The company is now adding AI vision recognition and several other key enhancements. These are the leading electronic payment systems you can use to avoid paying by cash or credit card. Since Elera's launch, Toshiba has developed 45 IT microservices and hundreds of APIs to help retailers integrate other apps and try out new ideas. "The [Elera] platform is designed to be agile and allow retailers to rapidly implement innovative solutions and either quickly fail or if successful -- then have the ability to scale things across their retail network," said Yevgeni Tsirulnik, Vice President, digital portfolio and innovation at Toshiba.


Amazon fixes security flaw in AWS Glue service

ZDNet

Amazon Web Services has fixed two flaws affecting AWS Glue and AWS CloudFormation. The bug in AWS Glue could allow an attacker using the service to create resources and access data of other AWS Glue customers, according to Orca Security. It's easier than ever for enterprises to take a multicloud approach, as AWS, Azure, and Google Cloud Platform all share customers. Here's a look at the issues, vendors and tools involved in the management of multiple clouds. Orca researchers say it was due to an internal misconfiguration within AWS Glue, which AWS today confirmed it has since fixed.


top-10-key-ai-and-data-analytics-trends-for-2022

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Transacting has changed dramatically due to the global pandemic. E-commerce, cloud computing and enhanced cybersecurity measures are all part of the global trend assessment for data analysis. Businesses have always had to consider how to manage risk and keep costs low. Any company that wants to be competitive must have access to machine learning technology that can effectively analyze data. The industry's top data analysis trends for 2022 should give our creators an idea of where it is headed.


Complete Machine Learning & Data Science Bootcamp 2022

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This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!


12 Tips: From Data Analyst to Startup Co-Founder - KDnuggets

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Early in my career, working as a data analyst, I, like many people, dreamed of doing something significant and valuable for people. I wanted to be creative. I wanted to feel the results of my work, not just study the data. I worked at several startup companies for ten years before co-founding an e-commerce recommendation services company in 2012. In 2020, during the COVID pandemic, I went on sabbatical for a year -- wrote a book, released it on Amazon, and left the successful company (positive cash flow, 150 employees in Russia, Europe, and South America) entirely in the summer of 2021.


Pinaki Laskar on LinkedIn: #AI #deeplearning #AIScience

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AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Is #AI Science or Engineering? AI combines science and engineering in order to build machines capable of intelligent behaviour. It brings together work from the fields of philosophy, psychology, and computer science, and contributes to and has drawn on brain science and linguistics. AI Science and Engineering is a transdisciplinary science and engineering of Technology Systems, Platforms, Machines, Computers, Computer-Controlled Robots, or Software Powerful to Interact Effectively, Sustainably and Intelligently with the World. AI Engineering is a field of research and practice that combines the principles of systems engineering, software engineering, computer science, and human-centered design to create AI systems in accordance with human needs for mission outcomes.


datarobot-artificial-intelligence-ai-portfolio-review

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DataRobot is an artificial intelligence (AI) cloud leader that provides access to AI across the globe. It enables organizations to leverage the transformative power of AI through its AI Cloud platform and a variety of AI solutions. Founded in 2012, DataRobot serves a third of Fortune "500" companies. Through its AI Cloud, DataRobot is able to provide a single system to deliver a range of AI products. Data Prep by DataRobot gives data analysts and scientists the ability to interactively and visually explore, combine, and shape data to train and deploy their machine learning (ML) models.