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
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.
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.
Alex Circei Contributor Share on X Alex Circei is the CEO and co-founder of Waydev, a development analyticstool that measures engineering teams' performance.
Apple announced today several new updates to its podcast creator tools, including, most notably, the addition of Subscription Analytics within Apple Podcasts Connect — the dashboard where podcasters track how their listeners engage with their shows.
You’ll learn how a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use. How a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use.
Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. Real-time analytics.
DEX best practices, metrics, and tools are missing Nearly seven in ten (69%) leadership-level employees call DEX an essential or high priority in Ivanti’s 2024 Digital Experience Report: A CIO Call to Action , up from 61% a year ago. While less than half say they are monitoring device performance, or automating tasks.
Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?
To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential. Achieving ROI from AI requires both high-performance data management technology and a focused business strategy.
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.
Agentic AI focuses on performing specific tasks and emphasizes operational decision-making instead of the content generation often associated with gen AI tools. An AI Agent performs a certain amount of work, and you pay for amount of time or units it took to do that work, he writes.
GenAI is also helping to improve risk assessment via predictive analytics. In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.
which performed two ERP deployments in seven years. Allegis plugged the gaps by integrating 12 third-party technologies and building custom solutions to give the company the ability to perform tasks such as replenishment and demand planning. Use an ERP upgrade as the trojan horse to harness other emerging technologies.”
The CDO role is instrumental in identifying and integrating new technologies and business models that enhance organizational performance. This approach transcends the mere adoption of new tools; it involves reimagining business processes to infuse digital technology into every facet of operations.
Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker
King’s product managers rely heavily on analyzing product features using analytics data and visualization to improve outcomes. The key is the strategy and tools for accessing product data at the level that you'd like. Come learn to crush analytics with King. Don't miss King’s data expert (dare we say king?)
Factors such as precision, reliability, and the ability to perform convincingly in practice are taken into account. These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks.
While artificial intelligence is a key focus at SAP’s user conference, Sapphire, this year, the company has announced that it is also enhancing its Business Technology Platform — application development and automation, data and analytics, integration, and AI capabilities — by adding features to extend its components’ functionality.
CMOs are now at the forefront of crafting holistic customer experiences, leveraging data analytics to gain insights into consumer behavior, and developing strategies that drive engagement across multiple channels. Enhancing decision-making comes from combining insights from marketing analytics and digital data to make informed choices.
The venture capital and private equity database today launched VC Exit Predictor, a tool trained on PitchBook data to attempt to suss out a startup’s growth prospects. ” PitchBook certainly isn’t the first to develop an algorithmic tool to inform investment decisions. .” But do these tools actually work?
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.
Structured frameworks such as the Stakeholder Value Model provide a method for evaluating how IT projects impact different stakeholders, while tools like the Business Model Canvas help map out how technology investments enhance value propositions, streamline operations, and improve financial performance.
AI-powered security automation matures Improving application performance and user experience while maintaining an all-encompassing security posture is a critical balancing act. AI-powered analytics can provide valuable insights into anomalous network traffic patterns, enabling threat detection and mitigation.
AI is no longer just a tool, said Vishal Chhibbar, chief growth officer at EXL. Accelerating modernization As an example of this transformative potential, EXL demonstrated Code Harbor , its generative AI (genAI)-powered code migration tool. Its a driver of transformation.
This guide will walk you through the strategies, tools, and frameworks to identify high-potential tech candidates effectively. For instance, a skilled developer might not just debug code but also optimize it to improve system performance. Adaptability In the fast-changing tech landscape, the ability to learn and adapt is invaluable.
Alex Circei is CEO and co-founder of Waydev , a Git analyticstool that measures engineers' performance automatically. Summarizing the performance of 10, 20 or 50 developers over the past 12 months, offering personalized advice and having the facts to back it up — is no small task. Alex Circei. Contributor.
In Session 2 of our Analytics AI-ssentials webinar series , Zeba Hasan, Customer Engineer at Google Cloud, shared valuable insights on why data quality is key to unlocking the full potential of AI. AI works best as a tool that amplifies human capabilities, not as a replacement. Data quality is a lot more than just having lots of data.
Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.
For CIOs, the challenge is not just about integrating advanced technologies into business strategies but doing so in a way that ensures they contribute positively to the company’s ESG performance. This could involve adopting cloud computing, optimizing data center energy use, or implementing AI-powered energy management tools.
Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.
That’s not necessarily the case, says Christina Janzer, SVP of research and analytics at Slack. The solution, she says, is for companies to set clear objectives and performance criteria, and avoid an explosion in projects, initiatives, and teams that don’t add value but create work. With too many tools, you’re always playing catch up.
Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. What is a high-performance team today?
And since the latest hot topic is gen AI, employees are told that as long as they don’t use proprietary information or customer code, they should explore new tools to help develop software. These tools help people gain theoretical knowledge,” says Raj Biswas, global VP of industry solutions.
To establish a high-performing IT culture, IT leaders must be able to push their teams to the limit without crippling morale. Improving IT team performance is a constant, ongoing effort, says Dena Campbell, CIO at Vaco Holdings, a global professional services firm.
Many workers are not waiting for guidance and permission when it comes to adopting AI tools, leading to the emergence of shadow AI. In late 2023, a report from ISACA suggested that up to two-thirds of workers are using unsanctioned AI tools, despite only 11% organisations having a formal policy permitting its use.
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. Getting the necessary employees to adopt a new gen AI tool is a huge step.
There’s been an explosion of business intelligence (BI) tools in recent years, or tools that analyze and convert raw data into info for use in decision making. NewVantage Partners’ 2022 poll of chief data and analytics officers found that less than half (47.4%) believed that they’re competing on data and analytics.
Traditional methods have been augmented or replaced by digital platforms and AI-driven tools. Tools like AI-driven chatbots enhance candidate experience by providing instant responses to inquiries, scheduling interviews, and conducting initial screenings—many AI technologies are becoming indistinguishable from humans by candidates.
Leaders who undergo structured performance evaluations show marked increases in adaptability, problem-solving acumen, and resilience under pressure. Evaluations serve not only as diagnostic tools but as developmental pathways, clarifying strengths and identifying areas for refinement.
You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. These agents are already tuned to solve or perform specific tasks. Would you know that the user agent performs sentiment/text analysis?
A 2024 report from Wiley supports this shift, with 63% of those who received soft skills training reporting a positive impact on their job performance. Sophisticated algorithms and data analytics allow for a more informed selection process based on a candidate’s skills, experience, leadership style, and potential for future growth.
That’s why it’s becoming more common for organizations to use talent assessments as a strategic tool to vet potential hires and improve the probability of a good fit with the role and the organization’s culture. This has a direct bearing on Retention and organizational performance. What are Talent Assessments?
It has developed its own tech stack that optimizes the performance of each game. The startup has developed an all-in-one SDK that helps developers optimize their mobile game through analytics and A/B testing to turn it into a profitable venture. Game developers can build a prototype with Unity and submit it to Homa Games.
This can involve assessing a companys IT infrastructure, including its computer systems, cybersecurity profile, software performance, and data and analytics operations, to help determine ways a business might better benefit from the technology it uses.
For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. The compay fostered a culture of innovation by involving employees in the modernization process and addressing their concerns.
We organize all of the trending information in your field so you don't have to. Join 49,000+ 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