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By Bob Gourley CTOlabs.com, a subsidiary of the technology research, consulting and services firm Crucial Point LLC and a peer site of CTOvision.com , has just announced a whitepaper titled “ Empowering Analysts with Big Data.” ” Download your copy of this paper at this link: Empowering Analysts with Big Data.
Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.
A whitepaper has been added to the CTOVision Research Library which showcases several use cases for improving security and efficiency for government agencies using Hadoop. You can download this whitepaper by clicking here. By Charles Hall. Interested in using Hadoop in the federal space? IT Efficiency.
The best business decisions are driven by data aggregated from a vast array of whitepapers, market research reports, surveys, and domain experience. Augmented analytics is a leading data analytics subdomain emerging in the current market.
Just by embedding analytics, app owners can charge 24% more for their product. You’ll learn: How to take a disciplined approach to pricing The three elements of the Packaging Decision Framework Ways to structure your new embedded analytics offering Download the WhitePaper to learn about How To Package & Price Embedded Analytics.
Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Organization-Wide Analytics. Scalability.
And finally — largely by integrating with digital marketing platforms such as HubSpot, WordPress and Marketo — Casted’s software provides analytics on what a specific user is paying attention to. Those data-driven analytics becomes valuable information for sales and marketing teams in terms of who to target and why.
More and more organizations are moving their analytics to the cloud—and Oracle is one of the most popular destinations. Looking to move your own analytics workflows to Oracle Cloud? As an Oracle Platinum Partner, Datavail has the skills and experience that companies need to make their next Oracle cloud analytics migration a success.
Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.
Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
Moving analytics to the cloud is now a best practice for companies of all sizes and industries. According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution. Don’t rush into things.
This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.
You need comprehensive monitoring, analytics and reporting, often delivered through artificial intelligence for IT operations (AIOps) to gain insights into network and security performance. Cyberattackers never give up trying to find new ways of stealing your data, so your security solution can’t remain static.
For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.
The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.
Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. But, there are many players in the data analytics market. Data analytics isn’t about just the technology.
Can behavioral analytics enhance security? For more on all these trends see our whitepaper titled: CAMBRIC: The Seven Megatrends Creating The Future Of Information Technology. Open questions decision-makers should track include: Will job displacement be a crisis? Will companies use AI for good?
To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.
As a leader in cybersecurity, Tenable was able to harness its expertise to best use security analytics, building out a program that had orchestration and enforcement capabilities through scanning and assessment, endpoint monitoring, traffic inspection and network discovery.
Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.
According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction. Here’s an example.
This eliminates the hassles of data silos and makes data accessible for model training, analytics, and real-time inferencing. A modern data lakehouse empowers the utilization of open data formats and distributed datasets across core, edge, and multicloud environments.
CTOlabs.com , the research arm of CTOvision.com , has just released a WhitePaper for the federal technology community titled: Enhancing Functionality and Security of Enterprise Data Holdings: Examining new, mission-enabling design patterns made possible by the Cloudera-Intel partnership.
CTOlabs.com , the research arm of CTOvision.com , produced a WhitePaper for the federal technology community titled: Enhancing Functionality and Security of Enterprise Data Holdings: Examining new, mission-enabling design patterns made possible by the Cloudera-Intel partnership.
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this whitepaper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. But times are changing.
What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.
What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.
Stay tuned for the next Immediate Insight whitepaper. Exploiting IT Analytics to Create a 'Human Layer' Security Initiative (ctovision.com). For more information on FireMon’s Immediate Insight click here. Related articles. The Difference between SIEM and UBA (varonis.com).
Today''s data-intensive analytic platforms offer a dizzying amount of data, originating from sensors, markets, social media, the Internet of Things, and countless other sources. You can download a whitepaper showing how this can be accomplished, complete with reference architecture, here. By Charles Hall.
Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this whitepaper to discover which features will differentiate your application and maximize the ROI of your analytics. But today, dashboards and visualizations have become table stakes.
At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. WhitePaper. Real world problems are multidimensional and multifaceted.
And in a January 2020 study , researchers at Arizona State University showed that an AI system trained on a dataset of images of professors could create highly realistic synthetic faces — but synthetic faces that were mostly male and white, because it amplified biases contained in the original dataset.
Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. AWS IoT Analytics will enable you to convert unstructured data to structured data and then analyze it. This blog will show you how to create a dataset with AWS IoT Analytics.
It was “clear that we needed to move to an infrastructure that better supported automation, offered more flexible and dynamic security capabilities, and could reduce the overall impact when planned or unplanned changes occur,” Intel wrote in a whitepaper about its switch to SDN.
This whitepaper shares why, in a world full of new features, traditional reporting is still a critical requirement for businesses. Read further to understand the reasons behind its lasting relevance and why it should continue to be an integral part of modern analytics solutions.
We would also like to bring your attention to a whitepaper which captures more details on these lessons learned and use cases, which can be downloaded here: Download “SAS and Apache Hadoop for Government” SAS-And-Apache-Hadoop-for-Gov2.pdf pdf – Downloaded 239 times – 832 kB.
Please download the whitepaper below on how, when buying servers, Solarflare network adapters can immediately enhance the performance of mission systems and applications. Download “Solarflare WhitePaper” WP_Solarflare_intro_final-1.pdf pdf – Downloaded 3 times – 224 KB.
Notably, hyperscale companies are making substantial investments in AI and predictive analytics. If you missed out on our webinar where we talked through the survey results of IDCs AI maturity model whitepaper, you can watch it on demand. Our company is not alone in adopting an AI mindset.
A failed analytics startup post-mortem. In January 2015, I set out to build an external representation of a market every bit as rich as those in the minds of leading executives driving successful companies; I founded an analytics startup called Relato —a startup that, unfortunately, did not succeed. Screenshot by Russell Jurney.
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
2 Based on an IDC WhitePaper commissioned by Dell Technologies and Intel: The Business Value of APEX as a Service Solutions, August 2021. Equipped with a bachelor’s degree in Finance and a Master’s of Science in Marketing from the University of Texas, Saba seamlessly combines analytical thinking and creative flair in her storytelling.
Visual analytics tools are how businesses turn cold, hard data into clear, beautiful visualizations. The right choice of visual analytics tool will dramatically simplify your data visualization workflows, offering pre-built templates to convert datasets into visual representations (e.g. 5 Visual Analytics Tools for Data Visualization.
OLAP (online analytical processing) databases , on the other hand, prioritize quick, efficient reporting and analysis of large quantities of data. As such, they’re generally used for BI and analytics workloads, and are not exposed to the end user. Check out my whitepaper “The Top 5 Challenges of ETL (And How to Solve Them).”.
Data analytics has become so valuable, and so in vogue, that more and more enterprise applications have been adding their own analytics features and capabilities. Below, we’ll discuss different ways that organizations have benefited from augmenting their traditional enterprise IT with powerful, forward-looking data analytics.
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