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This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.
In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way. Cloudera’s survey revealed that 39% of IT leaders who have already implemented AI in some way said that only some or almost none of their employees currently use any kind of AI tools.
Nearly nine out of 10 senior decision-makers said they have gen AI pilot fatigue and are shifting their investments to projects that will improve business performance, according to a recent survey from NTT DATA.
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. The survey is cementing the fact that the IT world is hybrid,” she says. “The
Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
And AI at Wharton, part of the Wharton AI and Analytics Initiative at the UPenns Wharton School, together with consultancy GBK Collective, also found in a study of senior decision-makers that enterprises with 1,000 or more employees invested on average more than double in gen AI in 2024 than 2023. Users need to keep an eye on the output.
According to a survey conducted by FTI Consulting on behalf of UST, a digital transformation consultancy, 99% of senior IT decision makers say their companies are deploying AI, with more than half using and integrating it throughout their organizations, and 93% say that AI will be essential to success in the next five years.
In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas.
That may be a key tension unfolding for the 2025 IT hiring market, as evidenced by IT recruitment firm Harvey Nash stepping back from the ramifications of its own recent survey of CIOs, who were decidedly pessimistic about IT hiring in the new year. Roles that merge analytics and engineering, for example, are becoming more common.”
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
The same survey found that over four-fifths of companies — 82% — were prevented from pursuing digital transformation projects due to the staffing, resources and expertise required. Contentsquare remains focused on its original bread and butter, which is to say web and app analytics. In some cases, it cost them dearly. In the U.S.
For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. How does a business stand out in a competitive market with AI?
It can automate repetitive service requests, harness predictive analytics for swifter resolution, and evolve continuously through adaptive learning. AI is everywhere, surfacing in everything from search engines and virtual assistants to our breakfast conversations. The irony is hard to ignore. Why the hold-up?
Despite the many concerns around generative AI, businesses are continuing to explore the technology and put it into production, the 2025 AI and Data Leadership Executive Benchmark Survey revealed. of those surveyed view the overall impact of AI as beneficial. Survey respondents were equally divided, with 36.3% Who runs AI?
Speaker: Josh Martin, Director of Product Marketing, Logi Analytics
Embedded analytics has evolved from an afterthought to a necessity. The state of embedded analytics in 2018 is in flux. Join Logi Analytics as they explore new survey findings and trends. You’ll learn: What development approach delivers the best results.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Survey respondents ranked ESG reporting as a top area needing AI skills development, even above R&D and product development. Nutanix commissioned U.K.
For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue.
StarTree , a company building what it describes as an “analytics-as-a-service” platform, today announced that it raised $47 million in a Series B round led by GGV Capital with participation from Sapphire Ventures, Bain Capital Ventures, and CRV. But they can require a lot of engineering effort to deploy and operate.
CIO.coms 24th annual 2025 State of the CIO research , which surveyed 906 IT leaders and 250 LOB professionals, confirms IT leaders are ramping up their strategic focus this year, in part to convert early AI experimentation into initiatives that deliver measurable business results. On average, respondents expect a 6.9%
Computing surveyed 150 individuals representing companies from a wide variety of industries that are actively involved in using, testing, evaluating, or procuring data analytics tools at their organization. Download now to learn: The state of data analytics in end-user organizations.
In April 2024, Dataiku and Cognizant surveyed 200 senior analytics and IT leaders from large enterprises worldwide. The results revealed a significant gap between what CIOs aim to achieve with Generative AI (GenAI) and analytics — and what they can realistically deliver.
Strategic warfare: How to hire and retain top analytics talent. Analytics can be as much of a black box as engineering, which is why hiring managers need to look past the skill list on CVs to find more effective ways to sort candidates, writes Chuck Soha, managing director at StoneTurn. Anja Rath, managing partner, PropTech1 Ventures.
In partnership with AiFi , a startup that aims to enable retailers to deploy autonomous shopping tech cost-effectively, Microsoft today launched a preview of a cloud service called Smart Store Analytics. It might sound like a lot of personal data Smart Store Analytics is collecting. The average Go store generates an estimated $1.5
Fifty-three percent of IT leaders surveyed for the 2025 AI Priorities Study from CIO.com parent company Foundry say they believe AI capabilities will enable reductions in their organizations workforces. IT pros already sense this, as a 2024 survey from Pluralsight found that 74% of IT professionals see AI making their skills obsolete.
Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst
In a recent Economist survey of 476 senior executives worldwide, 60% are already generating revenue from their data, and a whopping 83% have used data to make existing products or services more profitable. How much potential revenue is hidden in your data?
Charles Caldwell is VP of product management at Logi Analytics , which empowers the world’s software teams with intuitive, developer-grade embedded analytics solutions. He has more than 20 years’ experience in the analytics market, including 10+ years of direct customer implementation experience. Charles Caldwell. Contributor.
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.
Our survey had 211 respondents, 62% of them in North America and 59% at companies with greater than $1 billion in annual revenue.) We asked survey respondents to assess a list of 16 technologies, from advanced analytics to quantum computing, and put each one into one of these four buckets. AI/machine learning.
“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” In this case, IT works hand in hand with internal analytics experts.
Efficient usage data collection and analytics can open up significant possibilities for suppliers. Revenera’s 2020 Software Monetization and Pricing survey gathers input from leading software companies and provides you with key insights. Yet many software suppliers still struggle to get accurate insights into usage.
Abimbola Adebayo, founder and CEO, Pinnu Analytics. TechCrunch+ roundup: Vanity metric dangers, planning for failure, Black founders survey by Walter Thompson originally published on TechCrunch. Sevetri Wilson, founder and CEO, Resilia. 3 Black founders predict little will change in VC in 2023.
The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. The world plunged headfirst into the AI revolution. Now many are admitting they werent quite ready.
In the AI era, organizations are relying on analytics to drive business efficiencies and generate new revenues. but only 24% of IT leaders tell us they are confident in the data on which their organization relies.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
According to the study conducted by Wakefield Research in 2021, only 22% of the data leaders surveyed have fully realized ROI in the past two years, with most data leaders (56%) having no consistent way of measuring it.
Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots. However, according to the same study, only 28% of businesses are fully tapping into the potential of mainframe data insights despite widespread acknowledgment of the datas value for AI and analytics.
A new Foundry survey shows IT leaders are all-in on the idea that artificial intelligence (AI) can help them address a longstanding struggle with enterprise networks: making day-to-day management of networks easier. Close behind: data analytics and business intelligence projects as well as cybersecurity.
SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. This will provision the backend infrastructure and services that the sales analytics application will rely on. You’ll use this file when setting up your function to query sales data.
This has led to problematic perceptions: almost two-thirds (60%) of IT professionals in the Ivanti survey believing “Digital employee experience is a buzzword with no practical application at my organization.” These include digital experience scores (only 48% do this), device/user analytics (42%) and speed of ticket resolution (39%).
The company’s product today also covers flows to improve feature adoption, to nudge people to take feedback surveys, and to get visitors to read announcements but is still built on the same premise: giving non-technical people the ability to create dialogues to improve how their digital interfaces work.
The rush to AI Data quality problems have been compounded in the past two years, as many companies rushed to adopt gen AI tools , says Rodion Myronov, Softserves assistant vice president for big data and analytics. When the board asks the C-level about this technology, naturally people feel obliged to come up with something, he says.
Sixty-two percent of business leaders reported in a Capgemini Research Institute survey that they plan to boost sustainability investments. They should also implement AI-powered predictive analytics for better decision-making. Enhance customer experience through AI and data analytics. Our take: CX investments are paramount.
A survey by Glassdoor found that over 77% of adults across four countries (the United States, UK, France, and Germany) would consider a company’s culture before applying for a job there, and 79% would consider a company’s mission and purpose before applying for or considering a role.
UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions.
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