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
Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI as a catalyst for actionable insights One of the biggest challenges in digital analytics isn’t just understanding what’s happening, but why it’s happening—and doing so at scale, and quickly. That’s where Gen AI comes in.
Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. enterprise architects need to balance innovation with the practical realities of contracts and service agreements.
Aligning ESG and technological innovation At the core of this transformation is the CIO, a pivotal player whose role has expanded beyond managing technological innovation to overseeing how these innovations contribute to ESG goals. It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals.
Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. GenAI-powered financial services use cases Across the sector, GenAI is empowering innovation and enabling new work patterns.
Embedding analytics in your application doesn’t have to be a one-step undertaking. You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.
This involves the integration of digital technologies into its planning and operations like adopting cloud computing to sustain and scale infrastructure seamlessly, using AI to improve user experience through natural language communication, enhancing data analytics for data-driven decision making and building closed-loop automated systems using IoT.
These new regions are a testament to Oracles confidence in the regions ability to drive innovation, especially as both countries ramp up their efforts to become global leaders in AI and cloud computing. Whats Next?
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.
During his one hour forty minute-keynote, Thomas Kurian, CEO of Google Cloud showcased updates around most of the companys offerings, including new large language models (LLMs) , a new AI accelerator chip, new open source frameworks around agents, and updates to its data analytics, databases, and productivity tools and services among others.
Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #3: Superior guardrails and governance will spur innovation.
As data, analytics, and AI continue to push the boundaries of what’s possible, 2024 has brought forward a new wave of groundbreaking use cases and innovative leaders.
The answer informs how you integrate innovation into your operations and balance competing priorities to drive long-term success. Companies like Qualcomm have to plan and commit well in advance, estimating chip production cycles while simultaneously innovating at breakneck speed. A great example of this is the semiconductor industry.
Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications. With Logi Symphony, you’re not just overcoming obstacles, you’re driving innovation in manufacturing and supply chain.
“The critical element lies in automating these steps, enabling rapid, self-learning iterations that propel continued improvement and innovation.” However, research demonstrates that more executives, like Schumacher, recognize the connection between AI and business innovation. Most AI hype has focused on large language models (LLMs).
The CDO’s mandate extends beyond mere technology implementation; it encompasses the development of comprehensive digital strategies and the cultivation of a culture that embraces continuous innovation. This includes fostering a culture that values innovation and agility. Prioritizing customer experience is crucial.
Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. Together, Cloudera and AWS empower businesses to optimize performance for data processing, analytics, and AI while minimizing their resource consumption and carbon footprint.
G42, based in Abu Dhabi, UAE,is a global technology pioneer specializing in AI, digital infrastructure, and big data analytics. This collaboration will explore and implement transformative AI initiatives aimed at redefining patient care, enhancing medical innovation, and optimizing hospital operations. 2 hospitalin the world.
The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. With Logi Symphony, you’re not just overcoming obstacles, you’re driving innovation in healthcare. But with Logi Symphony, these challenges become opportunities.
“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.” We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
CIOs now list innovation as the most important trait they need to bring to their role, according to a 2024 survey by professional services firm Deloitte — ahead of delivering top-line value and serving as change agents, two endeavors that require innovation to facilitate.
At TechEmpower, we frequently talk to startup founders, CEOs, product leaders, and other innovators about their next big tech initiative. After all, that’s what tech innovation is all about. After all, that’s what tech innovation is all about. The innovator/developer relationship needs to be a conversation.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability.
Join us for this exclusive webinar with expert innovator Paul Weald to learn more about: How artificial intelligence technology can complement employee performance and optimize business performance with intelligent insights and analytics. Embrace automation, collaborate with new technology, and watch how you thrive!
Effective IT leadership now demands not only the courage to innovate but also a profound understanding of change management principles. By building a program on the existing foundation of culture, structure, and governance, IT leaders can navigate the complexities of AI while upholding ethical standards and fostering innovation.
AI cant work without the right dataand that data lives on the mainframe At the recent Gartner Data & Analytics (D&A) Summit in Orlando, one of the hottest topics was how to operationalize AI in a way that delivers business value. These efforts dont just bridge the skills gapthey create a culture of innovation around the mainframe.
The country’s continued push for digital innovation has led to the creation of specialized departments and initiatives on cloud, AI, and emerging technologies. He believes that AI’s integration will not only improve existing services but also pave the way for new innovations that will reshape how the government interacts with its citizens. “AI
While data and analytics were not entirely new to the company, there was no enterprise-wide approach. One of the key innovations of the enterprise data platform is our approach to productizing data. Diverse teams are more innovative, and they produce better outcomes.
Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst
By creating innovativeanalytics products and expanding into new markets, more and more companies are discovering new potential revenue streams. But how do you identify these potentially profitable areas, and what can you do to take advantage of them?
It involves being open to new ideas, enhancing effective communication skills, being a lifelong learner, fostering a culture of innovation and embracing change with a positive attitude. Cultivating a dynamic, adaptive, inclusive and compassionate mindset is essential to fostering continuous innovation.
Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. Saudi Arabia’s AI strategy aligns with the broader goals of Vision 2030, which emphasize economic diversification through technological and digital innovation.
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.
For us, its about driving growth, innovation and engagement through data and technology while keeping our eyes firmly on the business outcomes. Its impossible to drive meaningful innovation if you dont understand how the business works and what its core purpose is. Being in IT has never been just about technology.
In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition.
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?
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. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.
In recent years, the United Arab Emirates has emerged as a global hub for technology and innovation. With adversaries constantly innovating and refining their tactics, organizations must remain vigilant and agile in their approach to cybersecurity.
Bank of America will invest $4 billion in AI and related technology innovations this year, but the financial services giants 7-year-old homemade AI agent, Erica, remains a key ROI generator , linchpin for customer and employee experience , and source of great pride today. Weve been modernizing our data plan, Gopalkrishnan says.
Highlighting innovations like AI-driven tools and data analytics, the playbook empowers leaders to streamline processes, enhance candidate experiences , and foster diversity and inclusion. The 2025 Recruitment Playbook by Procom is a strategic guide tailored for hiring managers to navigate the evolving talent landscape.
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.
Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation. The financial and security implications are significant. In my view, the issue goes beyond merely being a legacy system.
This ambitious initiative has revolutionized public safety by combining a massive surveillance network with advanced analytics and artificial intelligence, creating a system that shifts the focus from reactive responses to proactive prevention.
Thats 100% accurate, says Patrick Buell, chief innovation officer at Hakkoda, an IBM company. Tuned, open-source small language models run behind firewalls solve many of the security, governance, and cost concerns.
Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.
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