Do you need to increase speed to insights by collecting and managing your remote data? Is migration to the cloud reducing your data governance? Is changing your data architecture resulting in an imbalance between performance and cost? If you answered … Leer más »
Mejora la visualización de la información y la toma de decisiones. La aplicación de la Inteligencia de Negocio por parte de los profesionales que realizan análisis de datos supone una mejora fundamental en la visualización de la información … Leer más »
Data virtualization provides consistent and reliable virtual data from multiple data sources to enrich analytics and operational insights. Watch to learn how to boost your own information and data landscape by virtualizing your logical data models using data … Leer más »
The growing waves of data you’re pulling in include sensitive, personal or confidential data. This can become compliance nightmare, especially with rules around PII, GDPR and CCPA. Especially as it takes simply too much time to manually decide … Leer más »
Over the past few years, McLaren and Dell Technologies have been on a journey to test the limits of digital transformation in F1 Racing and bridge the gap between the physical world and its virtual copy, the … Leer más »
La inteligencia de ciber amenazas (CTI) puede ser considerado como el super héroe de la ciber seguridad en la actualidad. ¿Por qué? Porque puede ayudar a los equipos de seguridad y de gestión de riesgos a mantenerse … Leer más »
Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but … Leer más »
Optimizar la cadena de suministro significa gestionar múltiples factores complejos, simultáneamente y en tiempo real. Aspectos como gestionar y optimizar el inventario, agilizar el transporte y entregarlo justo a tiempo, analizar y controlar en cada momento el stock, … Leer más »
Artificial Intelligence techniques like Machine and Deep Learning are becoming mainstream technologies that can analyze large volumes of data and potentially unlock insights especially in biomedical applications. Artificial Intelligence systems in medicine have the potential to have … Leer más »
One of the challenges to scaling analytics is overcoming disparate data sources. That’s why we’re teaming up with Nick Bignell, Director of Data Science Service at UBS, who deeply understands analytics, data science, and process automation best … Leer más »
Enterprises are falling behind on data privacy compliance and regulatory requirements (GDPR, CCPA etc.) to protect sensitive data. They use obsolete tools and manual processes that are inaccurate and error prone, delaying data consumption by months. Join … Leer más »
Intelligent Data Summit – is a multi-vendor virtual summit where experts will share how to design and deliver a modern digital enterprise powered by analytics, data & AI/ML. Topics include proven strategies, tools and platforms for all … Leer más »
Businesses are generating data at an exponential rate. To compete effectively, IT leaders need to store, collect, and analyze their enterprise data. But with so many disparate sources – and types of data – how can an … Leer más »
Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology … Leer más »
Customer centricity and delivering a world class customer experience is the most important factor for carriers to embrace in the digital era, being able to understand customer needs, simplify the buying and claims experience, as well as … Leer más »
MATLAB proporciona una integración flexible y bidireccional con muchos lenguajes de programación, incluido Python. Esto permite que diferentes equipos puedan colaborar, integrando sus desarrollos y llevándolos a producción sin importar su preferencia de lenguaje al programar. Asiste a este seminario … Leer más »
Además de por la pandemia del coronavirus, 2020 será recordado como el año que aceleró, y mucho, la transformación digital. Las empresas que no sean capaces de adaptarse a los nuevos tiempos y que no sean ágiles … Leer más »
Classify, manage, and protect data across its lifecycle by adding technology advancements to further enrich video, digital images and other forms of unstructured data. Deep dive into an agile media management and workflow automation software that helps … Leer más »
Monitoring performance in the cloud with unified visibility across the entire ecosystem is critical to the success of any cloud deployment. In both the data center and cloud deployments, a proliferation of diverse performance solutions and microservice … Leer más »
Afrontar activamente los desafios del mañana Se buscan: los datos correctos Las empresas de hoy sufren de un exceso de información. Mientras intentan mantenerse a flote en medio de la crisis, el volumen de datos no para de aumentar. … Leer más »
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or … Leer más »
Deep Learning and Machine Learning are powerful tools for to build applications for signals and time-series data across a broad range of industries. These applications range from predictive maintenance and health monitoring to financial portfolio forecasting and … Leer más »
Gartner predicts that 75% of all databases will be on a cloud platform by 2023 despite more than half of databases being on-premise today. To effectively navigate this period of disruption, organizations should prioritize three critical capabilities: … Leer más »
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture,» according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data … Leer más »
Digital Transformation and the opportunities to use data in Analytics and Machine Learning are growing exponentially, but so too are the business and financial risks in Data Privacy. The increasing number of privacy incidents and data breaches … Leer más »
A recent research (attached) shows that nearly all financial services organizations (97%) consider it important to accelerate speed the flow of information and improve the responsiveness of the organization. With the advent of streaming data technologies that capture … Leer más »
As we move into 2021, fintechs are getting stronger. However, developing a modern scalable architecture and solution in the cloud still poses a problem. We will discuss new approaches for leveraging data and how to build a … Leer más »
The FinTech industry is gaining momentum in disrupting the financial services industry. Artificial intelligence on the other side has been around for some time and has been used by Big Tech companies to establish themselves in their … Leer más »
In this session Enrico will talk about important lessons learned by users during COVID-19 lockdown in Europe, how it changed their IT strategy, and what is necessary to build sustainable and flexible IT infrastructure ready to adapt … Leer más »
Data Scientists spend most of their time looking for the right data and massaging it into a usable format. How can the Denodo platform enable the data scientist and data engineer? Join us as we explore and … Leer más »
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