CIO
JUNE 22, 2023
There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.
CIO
MARCH 12, 2024
The key to success in the software development lifecycle is the quality assurance (QA) and verification process, Ramakrishnan says. Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers.
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CIO
JANUARY 10, 2023
“Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.” Careers, IT Skills, Staff Management.
CIO
JANUARY 6, 2023
For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions.
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.
TIBCO - Connected Intelligence
DECEMBER 16, 2020
Imagine you’re a data engineer at a Fortune 1000 company. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion. But first-generation data virtualization tools are designed for data at rest.
Altexsoft
AUGUST 29, 2023
Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.
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