As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and
collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security
standards.
Balancing MLOps Innovation with Tough Security Standards
2022 State of Data Engineering: Emerging Challenges with Data Security & Quality
The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.
The State of Data Innovation 2021
Our friends over at Splunk, along with researchers at the Enterprise Strategy Group, set out to measure data innovation, surveying 1,250 senior IT and business decision-makers worldwide, across industries, at larger organizations to assess their data practices, their innovation infrastructure, and their results. This report, “The State of Data Innovation 2021” summarizes the findings.
From Storage to Story: Delivering New Value by Unlocking the Power of Data
Our friends over at Kin+Carta know that optimizing the full value of data and figuring out where to start can be difficult. That is why the company has authored this whitepaper on ways to make data work in four clear ways, while helping you take yours from Storage to Story, from modernization through to product optimization. The company’s approach is focused on creating digital products with data to enhance customer and business outcomes.
DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain
The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
The recent research included in this report from Cognizant’s Center for the Future of Work reveals what separates leaders from laggards when it comes to using data and artificial intelligence to make better decisions. The report also explores business leaders’ attitudes about using AI for decision making—but also clearly demonstrates that their actions do not yet match their optimism.
insideAI News Guide for Higher Education
The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success and workforce readiness, simplified systems and processes, and accelerate research.
The State of AI and Machine Learning
In the 7th edition of its annual State of AI report, Appen continues to explore the strategies employed by companies large and small in successfully deploying AI. The reports surveys business leaders and technical practitioners ( referred to as technologists) alike to understand their priorities, their successes, and their bottlenecks when it comes to implementing AI. Collectively, their answers enabled the company to paint a picture of how the AI industry continues to evolve in a world that is more virtual, more tech-savvy, and more globalized than ever.
insideAI News Guide to Big Data for Finance
The goal for this insideAI News technology guide, sponsored by Dell Technologies, is to provide direction for enterprise thought leaders on ways of leveraging big `data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.