This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Amazon Redshift made significant strides in 2024, rolling out over 100 features and enhancements.
Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 CIOs should consider placing these five AI bets in 2025.
Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work.
Noting that companies pursued bold experiments in 2024driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.
We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association. Register to save your seat!
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 time for experimentation and seeing what it can do was in 2023 and early 2024. The world plunged headfirst into the AI revolution.
Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Keep reading to learn how to do this.
According to a recent survey by Foundry , nearly all respondents (97%) reported that their organization is impacted by digital friction, defined as the unnecessary effort an employee must exert to use data or technology for work. Managed, on the other hand, it can boost operations, efficiency, and resiliency.
in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Data center spending will increase again by 15.5% trillion, Gartner projects.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? March 14th, 2024 at 9:30am PDT, 12:30pm EDT, 4:30pm GMT Use this webinar to earn professional development hours! Save your seat for this exclusive webinar today!
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. If you look at 23 and 2024 you had a lot of budget increases, you had a bunch of layoffs over the last couple of years, and not something thats sustainable.
Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5
Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.
Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
AI agents topped Forresters 2024 trend list, and Salesforce expects one billion in use by the end of fiscal year 2026. Another area is democratizing data analysis and reporting. By leveraging AI-driven solutions, we aim to provide an engaging and intuitive shopping experience. High-volume, repetitive tasks are ideal for AI.
In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. Gartner’s data revealed that 90% of CIOs cite out-of-control costs as a major barrier to achieving AI success.
I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.
Throughout late 2024, Microsoft continued to expand its agentic offerings with purpose-built agents for specific use cases. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. And thats just the beginning.
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.
According to IDCs July 2024 CIO Sentiment Survey , 26% of CIOs identify recruiting, retaining, and upskilling talent as their biggest challenge to success. The next step is understanding how to implement GenAI effectively, from overcoming adoption barriers to change management a topic we will explore in Part 2 of this series.
According to recent data from IDC’s CIO Sentiment Survey (Figure 1), only 38% of organizations have reached a high level of maturity in their digital transformation efforts (with only about 13% claiming full transformation). And yet, these types of metrics are the limpets of IT measurement — encrusted, intractable, and creating drag.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.
After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📅 May 16th, 2024 at 9:30am PDT, 12:30pm EDT, 4:30pm BST . ♻️ Manufacturing corporations across the U.S. 🌎 Don't miss this valuable webinar opportunity!
AWS re:Invent 2024, the flagship annual conference, took place December 26, 2024, in Las Vegas, bringing together thousands of cloud enthusiasts, innovators, and industry leaders from around the globe.
Gain stronger control over data Jae Evans, global CIO and executive vice president at Oracle, is planning to prioritize data control in 2024, and CIOs across industries would be wise to follow suit. “As As a large enterprise, we have vast amounts of data from disparate sources,” she says.
The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024. Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In
In 2024, the Data Culture Podcast once again brings you thought-provoking discussions, inspiring lessons, and cutting-edge insights from the worlds of data, analytics, and AI. With a blend of relevance, inspiration, and a touch of fun, our goal is to guide you through the complexities of data and analytics. Lets dive in!
In 2024, squeezed by the rising cost of living, inflationary impact, and interest rates, they are now grappling with declining consumer spending and confidence. It demands a robust foundation of consistent, high-quality data across all retail channels and systems. But 2025 and 2026 will bear good news, according to Deloitte.
The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI. Among laggards, only 70% think so.
Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.
For instance, in 2024, a troubling trend emerged where hackers used AI-powered tools to create highly convincing deepfakes, impersonating CEOs and other C-suite executives in 75% of such attacks. AI systems can analyze vast amounts of data in real time, identifying potential threats with speed and accuracy.
Although the terms data fabric and data mesh are often used interchangeably, I previously explained that they are distinct but complementary. The popularity of data fabric and data mesh has highlighted the importance of software providers, such as Denodo, that utilize data virtualization to enable logical datamanagement.
At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.
Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.
One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.”
One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of datamanagement using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.
Above all, there was a palpable focus on what it will take to make organizations combat-ready for the next waves of cybercrime and how best to manage it all. A rise in VC funding VC funding for cybersecurity startups, especially those utilizing AI/ML, grew again in the first quarter of 2024. billion in 154 deals in Q1.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content