83% of IT Leaders are Not Fully Satisfied with their Data Warehousing Initiatives, According to New Research from SnapLogic
New research published by SnapLogic, provider of the Intelligent Integration Platform, reveals that 83% of organizations are not fully satisfied with the performance and output of their data management and data warehousing initiatives. IT leaders cite a growing number of disconnected applications and data sources, outdated legacy systems, and slow and manual data movement as reasons for their frustration, all of which are stalling progress and costing them millions.
Featured Stories
Be More Da Vinci: Why Data Scientists Should Be Working with Designers, Futurists and Business Executives
In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives as the way to lead the future. Failing to do so risks being consigned to the past.
Big Data and Medical Research
In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.
Mastering the Internet of Things with Master Data Management
In this contributed article, editorial consultant Jelani Harper discusses how many organizations have struggled to harness the IoT’s scale, size, and speedy datasets for a cogent business use case justifying investing in this expression of big data. If the principal challenge is making sense of this continually generated streaming data in real-time, the solution is unequivocally as straightforward as it is effective: Master Data Management.
Featured Resource
The Four Stages of the Data Journey (and how to get ahead)
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.
Industry Perspectives
How AI Can Save Jobs in the COVID-19 Economy
In this special guest feature, Arijit Sengupta Founder & CEO of Aible, believes that the key to saving jobs in the COVID economy requires the right tool for the job, in this case, a new type of AI that blends augmented analytics and human domain knowledge. What business leaders need is an analytical tool to help them consider many possibilities quickly, execute a strategy while preserving options and react to change based on timely feedback.
Customers Want Experiences, Not Chatbots
In this special guest feature, Richard Smullen, CEO of Pypestream, discusses how moving forward, conversational experiences, not automated text transactions, need to be the priority for brands. Companies using CI and other automation will provide the seamless experiences customers expect and create true engagement using AI.
Featured from insideHPC
- 1st Student Cluster Competition Focusing on Racial Inclusion Slated for JanuaryThe inaugural Winter Classic Invitational Student Cluster Competition to include historically black and minority universities in the supercomputing challenge arena is slated for Jan. 25, 2021. To date, participating colleges include Prairie View A&M University, Fayetteville State University and Tennessee State University. With the support of top technology sponsors, Student Cluster Competitions train students to […]
News from insideHPC
- Kao Data Talks HPC-class Colocation Data Center Requirements in the UK’s ‘Innovation Corridor’
- Mode Analytics Raises $33 Million in Series D Funding, Led by H.I.G. Growth Partners
- 1st Student Cluster Competition Focusing on Racial Inclusion Slated for January
- Hyperion Research Invites Submissions for HPC Innovation Excellence Awards
- Summit Takes Center Stage in GE Wind Power Study
- Unify Your Analytics, and Keep Your Data Where It Suits You
- RadioFreeHPC: HPC Market Growth; Student Cluster Competition — Winter Classic Invitational
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q3 2020
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting [READ MORE…]
Hats Over Hearts
It is with great sadness that we announce the death of Rich Brueckner. His passing is an unexpected and enormous blow to both his family and the HPC Community. Rich was an institution in the HPC community. You couldn’t go to an event without seeing his red hat bobbing in the crowd, usually trailed by a fast-moving video crew. He’d be darting into booths, conducting interviews, and then speeding away to his next appointment.
What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics
In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.
Field Report: KDD 2019
As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfied two of my bucket list items: witnessing a KDD first-hand and also visiting Anchorage. I was not disappointed with the experience! What follows is my “Field Report,” a travel log if you will, chronicling my observations, both technical and cultural. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, [READ MORE…]
The Harvard Data Science Initiative and The MIT Press Launch the HARVARD DATA SCIENCE REVIEW
The Harvard Data Science Initiative (HDSI) and the MIT Press are pleased to announce the launch of the Harvard Data Science Review (HDSR). The multimedia platform will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand for data scientists booming, HDSR will provide a centralized, authoritative, and peer-reviewed publishing community to service the growing profession.
