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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.
This pilot phase is expected to highlight the performance of AMD’s GPUs in real-world scenarios, showcasing their potential to enhance AI-driven services within sovereign cloud environments. Collaborations between public and private organizations will be vital for the UAE to deliver on its ambitious digital agenda.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Real-time analytics. Curate the data.
To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential. It enables organizations to efficiently derive real-time insights for effective strategic decision-making. Understanding the use of the data is critical – it must be fit for purpose.”
Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics
Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications? In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application.
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?
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.
But recent research by Ivanti reveals an important reason why many organizations fail to achieve those benefits: rank-and-file IT workers lack the funding and the operational know-how to get it done. They don’t prioritize DEX for others because the organization hasn’t prioritized improving DEX for the IT team.
At the same time, many organizations have been pushing to adopt cloud-based approaches to their IT infrastructure, opting to tap into the speed, flexibility, and analytical power that comes along with it. As new technologies and strategies emerge, modern mainframes need to be flexible and resilient enough to support those changes.
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.
For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values.
Among them: Banking: Organizations are delivering personalized solutions with recommendations and enhancing customer service operations with avatar-assisted services and Natural Language Processing (NPL) chatbots that fulfill service requests promptly. GenAI is also helping to improve risk assessment via predictive analytics.
As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys.
Since then, several organizations have begun using the technology , and major vendors such as Salesforce and ServiceNow have offered AI agents to customers. Agentic AI focuses on performing specific tasks and emphasizes operational decision-making instead of the content generation often associated with gen AI tools.
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.
Generative AI playtime may be over, as organizations cut down on experimentation and pivot toward achieving business value, with a focus on fewer, more targeted use cases. In some cases, pilot failure rates of 50% or more have forced organizations to rethink the number of pilots they spin up, Wells says.
The Chief Digital Officer has emerged as a pivotal figure in the C-suite, steering organizations through the complexities of digital transformation. This role requires a deep understanding of market dynamics, consumer behavior, and technological trends, enabling the organization to adapt to changes and lead them.
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. These principles directly influence the organization’s culture and strategic moves.
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.
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. Taking a "human approach" to creating an organization wide data culture. He’ll also cover the various other ways that King uses analytics across their entire company, from finance to performance marketing.
Traditional perimeter-based security models are no longer sufficient, and organizations are seeking comprehensive solutions that can protect their data and resources across a dispersed network. AI-powered analytics can provide valuable insights into anomalous network traffic patterns, enabling threat detection and mitigation.
But the challenge many executives face is that they tend to focus on how their particular area aligns with overall goals, to the exclusion of other facets of the organization. Is your IT organization doing all it can to build strong alignment with business leaders and colleagues? Here are 11 effective ways to reach that goal.
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. They must understand market dynamics, competitive landscapes, and emerging trends to position the organization effectively.
It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals. 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.
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! No matter what industry you're in - healthcare, customer service, sales, and more - it’s easier than you think to reduce wait times, monitor sentiment, and provide enhanced self-service options for all of your users.
Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace. Technologies that enhance employee productivity or enable better collaboration across partner ecosystems are vital in boosting overall business performance.
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. Why is this the case?
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.
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. This gravitational effect presents a paradox for IT leaders.
IT modernization is a necessity for organizations aiming to stay competitive. Organizations often struggle to justify the upfront costs of modernization projects, especially when the ROI is not immediately apparent. Solution: To address budget constraints, organizations should adopt a strategic approach to funding IT modernization.
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?
Once a strictly tech role managing an organizations internal needs, the CIO role has seen a massive tectonic shift. IndiaMART is a tech-first organization. During COVID-19, the organization immediately moved from desktop-based work to remote & mobile- based setup, a difficult shift entirely done under the leadership of CIO.
Identifying high-potential talent in tech hiring is one of the most critical challenges organizations face today. According to a Gartner study , high-potential employees are 91% more valuable to an organization than their peers. This ensures candidates are evaluated on skills specific to your organizations needs.
Emphasis on Soft Skills in Leadership Solutions As organizations navigate an unpredictable business landscape, there is an increasing demand for leaders who possess dynamic, adaptable, and resilient qualities. These platforms enable organizations to access a global talent pool, breaking down geographical and logistical barriers.
This solution is designed to accelerate platform modernization, streamline workflow assessment and enable data discovery, helping organizations drive efficiency, scalability and compliance, said Swati Malhotra, AI solutions leader at EXL. AI can help organizations adapt to these shifts.
Organizations must prioritize strong data foundations to ensure that their AI systems are producing trustworthy, actionable insights. 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.
Every IT leader wants to create a fast, efficient, and innovative IT organization. To establish a high-performing IT culture, IT leaders must be able to push their teams to the limit without crippling morale. To establish a high-performing IT culture, IT leaders must be able to push their teams to the limit without crippling morale.
Collaborating closely with the Chief Executive Officer, the operations leader executes the organization’s strategy, makes pivotal decisions, and drives performance across all departments. A data-driven approach is essential, enabling leaders to understand current performance metrics and pinpoint areas for development.
With extensive networks and deep industry insights, they provide organizations with access to top talent capable of leading digital transformation initiatives and steering companies toward differentiated long-term success. Organizations must remain agile and forward-thinking to keep pace. One approach is leveraging industry networks.
The IT function within organizations has become far more complex in recent years. A consultants job is to assess the whole situation, the challenges, and the opportunities at an organization, Buchholz says. IT consultants are responsible for helping organizations design and develop strategic IT projects and manage their technology use.
Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. This includes developing a data-driven culture where data and analytics are integrated into all functions and all employees understand the value of data, how to use it, and how to protect it.
To attract and retain top-tier talent in a competitive market, organizations must adopt innovative strategies that help identify the right candidates and create a cultural environment where they can thrive. They offer unique avenues for organizations to showcase their employer brand and connect with potential candidates on a personal level.
Leaders who undergo structured performance evaluations show marked increases in adaptability, problem-solving acumen, and resilience under pressure. By transforming insights into actionable steps, organizations can enhance their talent pipeline while cultivating strategic visionaries who drive both short-term performance and long-term growth.
By not transforming to a more current state and failing to innovate based on anticipated future needs, CIOs may be exposing their organizations to greater vulnerabilities and competitive disadvantages,” says Kate O’Neill, an executive advisor and emerging tech analyst, and author of the forthcoming book What Matters Next.
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