Where is your organization on the data journey? Most of us are steadily moving toward the cloud, with most businesses planning to migrate to the cloud or expand their cloud footprint within a few years. But how do you get where you want to go? In this new whitepaper, our friends over at Matillion, the cloud-native platform for all your data integration, take a look at the different stages of the end-to-end journey and learn what it takes to get to the next level.
Keeping Pace: How Data Disconnects are Causing Large Financial Institutions to Lag their Competitors
This eBook reports on the results of the survey sponsored by Tamr, the data mastering company, on the state of data and digital transformation in financial services. Tamr conducted the survey of 300 C-suite executives in United States financial institutions with revenue of $1 billion or greater.
Obstacles to AI & Analytics Adoption in The Cloud
Trifacta launched a benchmark report in conjunction with Researchscape: Obstacles to AI & Analytics Adoption in the Cloud, to examine how data workers in the U.S. across industries are handling the increased move of data to the cloud, the time constraints endured when preparing data for analytics, artificial intelligence and machine learning initiatives, and the impact these obstacles have on the overall success of these projects.
Ultimate Guide to Cleaning Data with Excel and Google Sheets
The “Ultimate Guide to Cleaning Data with Excel and Google Sheets” eBook by Inzata Analytics discusses how poor data quality is the kryptonite of good reporting and credible analytics. Managing and ensuring data is clean can provide significant value to any business. This guide details useful steps and tips to cleaning data in a Google […]
Chief Data Officer Survey and Research Results
Exasol released the findings of a survey of nearly 1,000 IT directors in the US, UK and Germany about their organization’s use of data and the role of Chief Data Officers (CDO) in their organizations. The survey found – among other things – that 72% of businesses worry that their inability to generate insights through the analysis of data will have a negative impact on financial performance.
2019 Data Decisions Report by Exasol
Our friends over at Exasol recently released the findings of a survey that asked over 1,000 IT decision makers across the US about how their organizations use data to make critical business decisions, and the obstacles that stand in their way. The 2019 Data Decisions Survey found – among other things – that 57% of […]
insideAI News Guide to Optimized Storage for AI and Deep Learning Workloads
This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.
AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation
A new report was released by our friend over at Leverton, a data extraction startup recently acquired by MRI Solutions, titled “AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation.” The report lends insight into the experiences and preferences of “leaders,” “lookers,” and “laggards” (defined below) when it comes to AI deployment.
Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures
This new white paper from Striim, “Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures,” is a timely guide for enterprise decision makers who have accepted the benefits of moving to the cloud: elastic scalability, agility to launch innovative solutions quickly using modern technologies, better cash flow management, and lower expenses with a pay-as-you-go model, just to name a few.
The Modern CMO: Advancing Marketing from Reactive to Predictive
CMOs have always been expected to predict the future. But, now they actually can. Today, emerging technology with artificial intelligence (AI) enables CMOs to see patterns and anticipate client needs at a scale and speed never before possible. Our friends over at Intapp recently released a new whitepaper on the topic, “The Modern CMO: Advancing […]