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
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.
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.
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. A key point shared during the summit was how the Kingdoms organizations are increasingly investing in AI. 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.
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.
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.
This collaboration marks a significant step in driving innovation in cloud services, particularly in the MENA region. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.
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.
This alignment ensures that technology investments and projects directly contribute to achieving business goals, such as market expansion, product innovation, customer satisfaction, operational efficiency, and financial performance. Guiding principles Recognizing the core principles that drive business decisions is crucial for taking action.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technological innovation, and maintaining operational efficiency.
Rockset , a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. “We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data.
To that end, the financial information and analytics firm is developing APIs and examining all methods for “connecting your data to large memory models.” Secondly, how do you give them tools to do different work and innovate?” I think driving down the data, we can come up with some kind of solution.”
He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. CIOs own the gold mine of data Leverage analytics to turn your insights into financial intelligence, thus making tech a profit enabler.
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.
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.
Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise.
Harnessing Digital Platforms in Executive Search The integration of digital platforms into executive search processes offers unparalleled scalability and efficiency. For instance, an interim CFO is expected not only to manage day-to-day financial operations but also to craft and execute innovative financial strategies to drive growth.
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.
Yet it’s manufacturing companies that turn these dreams into a reality innovating production lines and processes to fulfill tasks in the most cost-effective way possible. Lets examine how manufacturing startups and venture capitalists can navigate these changes and take innovation into their own hands. The latest round of U.S.
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.
American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. According to Reuters , more than 100,000 flights in the US were canceled between January and July, up 11% from pre-pandemic levels. Taking to the cloud.
Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.
In September, we organized the 11th edition of the Analytics Engineering Meetup. They explored the innovative use of knowledge graphs in modern data governance and demonstrated how these tools improve data management. Summary Overall, Q3 has been a whirlwind of innovation, learning, and community building.
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.
Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.
To address these challenges, Atento turned to Avaya, leveraging the flexibility and innovation of Avaya’s solutions to scale its environment seamlessly as the business grew. However, this rapid expansion presented significant challenges in maintaining consistency and efficiency across its global operations.
This isn’t merely about hiring more salespeopleit’s about creating scalable systems efficiently converting prospects into customers. Continuous Delivery: Maintaining Innovation Velocity As your startup scales, maintaining speed and quality in product development becomes increasingly challenging.
In tech, where innovation is constant, hiring HiPos ensures your team can tackle complex challenges and drive organizational success. Problem-solving ability HiPo candidates excel at analyzing complex problems and devising innovative solutions. Here are the key traits to look for: 1. Strategies to identify high-potential candidates 1.
To do so, the team had to overcome three major challenges: scalability, quality and proactive monitoring, and accuracy. The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts.
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. Enhanced Data Collection Advanced analytics allow recruiters to track attendance, engagement levels, and candidate feedback with digital platforms.
The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. Beyond improved patient outcomes, AI integrated into site reliability engineering can help improve the scalability of software systems.
By abstracting the complexities of infrastructure, AWS enables teams to focus on innovation. When combined with the transformative capabilities of artificial intelligence (AI) and machine learning (ML), serverless architectures become a powerhouse for creating intelligent, scalable, and cost-efficient solutions.
Retail analytics unicorn Trax expects that this openness to tech innovation will continue even after the pandemic. Other participants included new investors OMERS and Sony Innovation Fund by IGV. Other tech companies focused on retail analytics include Quant Retail, Pensa Systems and Bossa Nova Robotics.
This transition streamlined data analytics workflows to accommodate significant growth in data volumes. The scalable cloud infrastructure optimized costs, reduced customer churn, and enhanced marketing efficiency through improved customer segmentation and retention models. Not all workloads belong in the same environment.
Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. For Bud, the highly scalable, highly reliable DataStax Astra DB is the backbone, allowing them to process hundreds of thousands of banking transactions a second. They can be applied in any industry.
Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.
Contact center platform vendors are bringing more cloud offerings to market, but not every organization is ready to transform with a move completely off-premises: Some prefer to keep certain workloads nearby (ex: 40% prefer to keep analytics and data deployment on-premises, according to new research from Ventana). Is your curiosity piqued?
In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. billion in 2025 to USD 66.68
Protecting industrial setups, especially those with legacy systems, distributed operations, and remote workforces, requires an innovative approach that prioritizes both uptime and safety. These innovations are critical in providing remote workers with the access they need while maintaining the integrity of OT networks.
In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. The spokes — Dow’s businesses and functions — will perform much of their own analytics and data science. We need future-ready, scalable, and flexible data platforms.
With emerging technologies like Gen-AI keeping organizations in a flurry of new implementations, a rapidly shifting CIO role, new innovations testing budgets and adaptability of organizations and increasing competition, a competent CIO is the ace that can change the game.
It enables seamless and scalable access to SAP and non-SAP data with its business context, logic, and semantic relationships preserved. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Performance and Scalability Optimized for high-performance querying, batch processing, and real-time analytics.
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