data platform

Results 276 - 300 of 742Sort Results By: Published Date | Title | Company Name
By: Oracle     Published Date: Apr 02, 2018
Deciding on a data management platform (DMP)? From audience scale to business strategy, you need to get to the core of a provider’s offerings before signing on the dotted line. Oracle Data Cloud created this checklist of the top seven questions you should ask any DMP provider. Download our checklist today to get your hands on the most important questions!
Tags : 
dmp, platform, management, oracle, data, cloud
    
Oracle
By: Oracle     Published Date: Sep 21, 2018
Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses or data marts in minutes.
Tags : 
    
Oracle
By: Oracle     Published Date: Sep 21, 2018
Choosing the right platform for cloud is a critical decision. You will want the next generation cloud infrastructure; Oracle Cloud is an optimized cloud platform.
Tags : 
    
Oracle
By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
Tags : 
    
TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
Tags : 
    
TIBCO Software
By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
Tags : 
    
Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Feb 21, 2019
Mobile marketing platforms facilitate direct marketing on mobile devices by enabling mobile campaign management and activation. These platforms can operate as stand-alone solutions; however, they typically integrate with, or operate alongside, CRM, location/data management, and multichannel marketing hub (MMH) or email marketing platforms. Regardless of how a mobile marketing platform gets deployed, the native or third-party analytics supporting its audience targeting, campaign sequencing, personalization and performance measurement capabilities form the foundation of this technology.
Tags : 
    
Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
Tags : 
    
Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
Tags : 
    
Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
If your bank is like many, it encrypts only a minimum of data. This is because many banks believe, incorrectly, that encrypting all data is unworkably cost- and resource-intensive on any platform. Encrypting piecemeal creates the need to carefully track where you are encrypting, what you are encrypting, and the time and resource costs of these activities.
Tags : 
    
Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: May 03, 2019
"Managing and securing endpoints with conventional mobile device management (MDM) or enterprise mobile management (EMM) solutions is time-consuming and ineffective. For this reason, global IT leaders are turning towards unified endpoint management (UEM) solutions to consolidate their management of smartphones, tablets, laptops and IoT devices into a single management console. To increase operational efficiency, maximize data security and deliver on their digital transformation goals, they’ll need a UEM platform that does more than just promise success. The answer is a smarter solution, built for today, that brings new opportunities, threats, and efficiency improvements to the forefront. With Watson™, IBM® MaaS360® UEM features cognitive insights, contextual analytics, and cloud-sourced benchmarking capabilities. It helps you make sense of daily mobile details while managing your endpoints, users, apps, document, and data from one platform."
Tags : 
    
Group M_IBM Q2'19
By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
Tags : 
    
Visier
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
Tags : 
    
Domino Data Lab
By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
Tags : 
    
Domino Data Lab
By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
Tags : 
data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
Tags : 
    
Amazon Web Services
By: Akamai Technologies     Published Date: May 07, 2018
2017 was a momentous year in security, even though the DDoS landscape appeared to plateau. Maybe it was because Mirai hit so hard at the end of 2016 and the owners of other botnets were retooling to catch up. Maybe it was because news of large data breaches captured so many headlines, drawing the attention of both criminals and the public. Or maybe it is simply due to the cyclical nature of attack popularity that we have seen in the past. No matter the cause, our prediction is that the trend won’t continue in 2018, and it is not time to be complacent. The Mirai botnet is far from played out, as botnet creators are continuing to modify the source code for their individual needs and, with more connected platforms devices than ever, the Internet will continue to offer fertile ground for largescale attacks.
Tags : 
internet, security, cryptocurrency, data, breaches, botnet
    
Akamai Technologies
By: Centrify     Published Date: May 26, 2016
This paper examines how securing identity is at the center of protecting your users, systems and data. In fact, today’s threats require a next-generation identity platform. And how Centrify secures enterprise identities through the Centrify Identity Platform.
Tags : 
data security, security, cyber attacks, threat and vulnerability management
    
Centrify
By: Citrix     Published Date: Jun 15, 2018
The world of IT is undergoing a digital transformation. Applications are growing fast, and so are the users consuming them. These applications are everywhere—in the datacenter, on virtual and/or microservices platforms, in the cloud, and as SaaS. More and more apps are now being moved out of datacenters to a cloud-based infrastructure. In order for an optimized and secure delivery of these applications, IT needs specific network appliances called Application Delivery Controllers (ADCs). These ADCs come in hardware, virtual, and containerized form factors, and are sized by Network Administrators based on the current and future usage of applications. The challenge with this is that it’s hard to foresee sizing or scalability requirements for these ADCs since users are constantly increasing, and applications are consistently evolving, as well as moving out of datacenters. Complicating matters, most ADCs are fixed-capacity network appliances that provide zero or minimum expansion capability
Tags : 
    
Citrix
By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
Tags : 
    
Datarobot
By: Schneider Electric     Published Date: Feb 17, 2017
This paper describes key security aspects of developing and operating digital, cloud-based remote monitoring platforms that keep data private and infrastructure systems secure from attackers. This knowledge of how these platforms should be developed and deployed is helpful when evaluating the merits of remote monitoring vendors and their solutions.
Tags : 
cyber security, energy efficiency, power and cooling systems, mean time to recovery, mttr, data privacy, cloud-based platforms, digital remote monitoring, data center
    
Schneider Electric
By: Diligent     Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms. Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
Tags : 
data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Diligent
By: Diligent     Published Date: Jul 10, 2017
You may already know what a board portal is. You Probably know that paper is heavy and hackers are a risk, and by now, you know there are multiple vendors that offer board portals. You may not realize that by making the right choice, a board can improve governance and efficiency while collaborating in a secure setting. With lots of vendors to choose from, here are the most important questions to ask during your search, divided into the five essential categories. For private, public, non profit and government boards alike, finding an app that excels across all five categories will lead to better electronic security and a more productive board.
Tags : 
data assets, risk management, it security, session management, authentication management, security intelligence, information management, infrastructure management, database platforms, account management
    
Diligent
By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
Tags : 
datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
Tags : 
sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management
    
SAS
Start   Previous    5 6 7 8 9 10 11 12 13 14 15 16 17 18 19    Next    End
Search Research Gateway      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.