Cloudera

NOVEMBER 15, 2024

Read on to discover the issues that cyber defenders face leveraging data, analytics, and AI to do their jobs, how Cloudera’s open data lakehouse mitigates those issues, and how this architecture is crucial for successfully navigating the complexities of the modern cybersecurity landscape.

Analytics 76

Analytics Storage Scalability Firewall 76

Cloudera

NOVEMBER 15, 2024

Read on to discover the issues that cyber defenders face leveraging data, analytics, and AI to do their jobs, how Cloudera’s open data lakehouse mitigates those issues, and how this architecture is crucial for successfully navigating the complexities of the modern cybersecurity landscape.

Analytics 52

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CIO

OCTOBER 20, 2023

With the power of real-time data and artificial intelligence (AI), new online tools accelerate, simplify, and enrich insights for better decision-making. Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. Here are the top six key takeaways from Bud’s overall approach: 1.

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Google Cloud Artificial Inteligence Development Team Review Banking 324

TechCrunch

MAY 19, 2022

Everstream Analytics , a supply chain insights and risk analytics startup, today announced that it raised $24 million in a Series A round led by Morgan Stanley Investment Management with participation from Columbia Capital, StepStone Group, and DHL. Plenty of startups claim to do this, including Backbone , Altana , and Craft.

Analytics 211

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CIO

JANUARY 5, 2023

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. Vikram Ramani, Fidelity National Information Services CTO.

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Software Review Tools Off-The-Shelf Technical Review 322

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

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CIO

OCTOBER 31, 2024

When IT leaders consider generative AI, they should create separate strategies when rolling out productivity-enhancing AI tools than when deploying business-case-driven AI solutions, according to new research from the Massachusetts Institute of Technology. One reason may be because they have taken a one-size-fits-all approach to AI.

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InfoWorld

JULY 1, 2024

Leaders seek smarter decisions that yield positive business benefits, faster decision-making to respond to opportunities, safer decisions that minimize risks, and change management disciplines to grow the number of employees using analytics tools across the organization.

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CIO

NOVEMBER 14, 2024

Yet, when it comes to technology, those same companies don’t hesitate to discard the old in favor of the latest tools on the market. The truth is, adopting new technology for the sake of it may not even be necessary—most companies already have the tools they need.

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CIO

OCTOBER 24, 2024

The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.

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TechCrunch

APRIL 18, 2023

That’s according to Kfir Tishbi, who led the engineering team at Datorama, a marketing analytics company that was acquired by Salesforce in 2018. Instead of making sense of it, more tools are being created and are generating even more data,” Raanan Raz, a former colleague of Tishbi’s, told TechCrunch in an email interview.

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O'Reilly Media - Ideas

JUNE 6, 2019

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. Their new startup is focused on a few trends I’ve recently been thinking about, including the re-emergence of real-time analytics, and the hunger for simpler data architectures and tools.

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Scalability Analytics Enterprise Architecture 81

CIO

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. This impressive growth trajectory underscores the accelerating role of IoT in our lives.

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IoT Real Estate Artificial Inteligence Sustainability 282

CIO

OCTOBER 29, 2024

They needed a solution that could not only standardize their operations but also provide the scalability and flexibility required to meet the diverse needs of their global client base.

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Strategic Planning Analytics Scalability Innovation 173

Dataiku

JUNE 10, 2024

In the competitive landscape of data-driven decision making, selecting the right analytics platform is crucial for staying ahead. With its comprehensive suite of tools designed for scalability and adaptability, Dataiku enables businesses to fully exploit the potential of their data assets.

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Hacker Earth Developers Blog

NOVEMBER 22, 2024

As businesses embrace remote-first cultures and global talent pools, virtual recruitment events are a cost-effective, efficient, and scalable way to source and connect with top talent. These events use tools such as video conferencing, chat platforms, and virtual booths to recreate the dynamics of an in-person job fair in a digital format.

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TechCrunch

APRIL 13, 2021

The answer is twofold: You need to make your revenue predictable, repeatable and scalable in the first place, plus make use of tools that will help you create projections based on your data. Base projections on repeatable, scalable results. Still, revenue modeling remains a challenge for founders. So what’s the takeaway?

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Tools Scalability Sustainability Data 214

CIO

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

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Data How To Quality Assurance Software Development 323

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Firebolt cites analysts that estimate the global cloud analytics market will be worth some $65 billion by 2025.

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Analytics Data Big Data Business Intelligence 218

Datavail

AUGUST 12, 2021

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.

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Hacker Earth Developers Blog

OCTOBER 13, 2022

Many organizations have discovered automation tools that can help continue business tasks from any remote location. By procuring and implementing these tools, you can redefine your remote working and help employees improve efficiency. Benefits of automation tools. Also, read: 21 Tech Recruiting Tools To Scale Your Hiring.

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Tools Recruiting Project Management Analytics 147

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. In this article we will discuss business analytics tools and use cases. “The

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Datavail

AUGUST 4, 2021

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.

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AWS Technical Review Analytics Development Team Review 98

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics?

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CIO

OCTOBER 25, 2024

While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. Many mainframe users with large datasets want to hang on to them, and running AI on them is the next frontier, Dukich adds.

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Survey Artificial Inteligence Artificial Intelligence Hardware 333

Datavail

SEPTEMBER 1, 2021

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. Scalability. Organization-Wide Analytics.

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Analytics Cloud Technical Review Data 97

Datavail

JULY 27, 2021

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.

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Azure Analytics Cloud Company 98

Altexsoft

FEBRUARY 3, 2020

The only way to exploit huge information bases is to use data analytics platforms. The Internet is packed with hundreds of options, so our goal is to help you out by presenting the 11 most effective data analytics tools for 2020. Data Analytics Definition, Stats, and Benefits.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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Generative AI Technical Advisors Insurance Weak Development Team 247

Sunflower Lab

JULY 21, 2023

A cloud-based SaaS platform that estimates production units for analytics is a boon, but what happens when a similar product that can do the same thing comes along with the capability to inspect that information against employee performance as well? Getting into the basic types of scalabilities, there are vertical and horizontal.

Scalability 52

Scalability Applications Enterprise VR 52

Datavail

NOVEMBER 17, 2021

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. Have you updated your systems to support applications and tools that can scale as you move from SMB to midmarket to enterprise?

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Case Study Analytics Study Architecture 97

Xebia

NOVEMBER 21, 2024

dbt (data build tool) has seen increasing use in recent years as a tool to transform data in data warehouses. These contributors can be from your team, a different analytics team, or a different engineering team. of the repository, while other times this is in an external tool like Confluence or Notion.

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Weak Development Team Testing Analytics Engineering 130

Capgemini

OCTOBER 7, 2024

Unlocking data analytics: eight strategies for effective cloud data design and management for Google Cloud Deepak Kumar Arya 30 Sep 2024 Facebook Twitter Linkedin Learnings and best practices based on successful Google Analytics data platform implementations Effectively leveraging enterprise data is one of the best ways to grow a business.

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CIO

MAY 29, 2024

But increasingly, industry leaders seem pessimistic about the ROI they’ve achieved from their digital tools. They discovered that these top performers were gradually improving their ROI numbers as the companies innovated their way to better use these tools. The internet is full of case studies illustrating the benefits of these tools.

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Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

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Analytics Retail Architecture Government 94

Hacker Earth Developers Blog

MARCH 19, 2024

In education, these tools are breaking down geographical barriers, enabling remote testing and instant feedback. This shift is not just a trend; it’s a fundamental change in how we approach assessments, driven by the need for more effective and scalable solutions in our increasingly digital world.

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