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Results 401 - 421 of 421Sort Results By: Published Date | Title | Company Name
Published By: CA Technologies     Published Date: Jun 04, 2015
CA Technologies focuses on DevOps - with an emphasis on ops. DevOps and Continuous delivery are slowly picking up, and CA is putting a lot of resources into providing a strong solution that connects developers with operations folks. CA LISA® has the strongest SVT product in our evaluation, making it ideal for organizations with a comprehensive SVT enterprise strategy.
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CA Technologies
Published By: CA Technologies     Published Date: Jun 04, 2015
CA Technologies focuses on DevOps - with an emphasis on ops. DevOps and Continuous delivery are slowly picking up, and CA is putting a lot of resources into providing a strong solution that connects developers with operations folks. CA LISA® has the strongest SVT product in our evaluation, making it ideal for organizations with a comprehensive SVT enterprise strategy.
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CA Technologies
Published By: IBM     Published Date: May 19, 2015
Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs.
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predictive analytics, predictive analytics solutions, big data, enterprise. advanced analytics, application development
    
IBM
Published By: Pivot3     Published Date: Aug 17, 2016
This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice for their business technology (BT) agenda.
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hyperconverged infrastructure, pivot3, hyperconverged systems vendors, infrastructure and operations, business technology
    
Pivot3
Published By: Pega     Published Date: Sep 11, 2015
In this Forrester Wave evaluation of customer relationship management (CRM) suites for enterprise organizations, we identified the nine most significant CRM suites solutions — Infor CRM (formerly known as SalesLogix), Microsoft Dynamics CRM, NetSuite, Oracle Siebel CRM, Pegasystems, Salesforce, SAP CRM, SAP Cloud for Customer, and SugarCRM — and researched, analyzed, and scored them. This report details our findings in order to help application development and delivery (AD&D) professionals supporting CRM operations select the right partner for their customer engagement initiatives.
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Pega
Published By: Pega     Published Date: Sep 11, 2015
This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help customer insights (CI) professionals select the right partner for their RTIM needs.
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Pega
Published By: Pega     Published Date: Sep 11, 2015
This report details our findings in order to help application development and delivery (AD&D) professionals supporting CRM operations select the right partner for their customer engagement initiatives.
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Pega
Published By: Akamai Technologies     Published Date: Jul 02, 2018
Forrester has published the results of its research evaluating the 10 most significant web application firewall (WAF) vendors on 33 important criteria. Akamai is proud to be recognized as one of three Leaders in WAFs, with top rankings in both the current offering and strategy categories.
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Nov 02, 2018
Independent technology research firm Forrester evaluated web application firewall (WAF) vendors and published the results in The Forrester Wave™: Web Application Firewalls, Q2 2018. Akamai Technologies emerged as one of the leaders after a comprehensive evaluation on 33 criteria. The report states that security pros require a WAF that will automatically protect web applications, stay ahead of zero-day attacks and protect new application formats including APIs and serverless architectures. The report also reveals detailed findings for the 10 most significant WAF vendors. Akamai’s Kona Site Defender was the top scorer in the zero-day attacks criterion and one of the select vendors rated a Leader, the highest-ranking level in the report. In viewing this Akamai content, we would like to share your data with Akamai. Click here for more info or to opt out.
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Nov 13, 2018
Recent high-profile data breaches and numerous waves of widely publicised internet attacks have made everyone nervous about security. Families, small businesses and other organisations are struggling to figure out how to protect themselves.
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Akamai Technologies
Published By: AWS     Published Date: Oct 01, 2019
Containers have transformed the way applications are created and deployed. AWS offers infrastructure resources optimized for running containers, as well as a set of orchestration services that make it easy for you to build and run containerized applications in production. Read our whitepaper to learn how containers can support your next wave of growth, best practices, and how you can easily get started using them on AWS.
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AWS
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Enterprises are moving to the cloud because it offers greater flexibility and lower cost. The first wave of cloud native and content apps are well on their way, but there's a new wave of traditional enterprise applications that enterprises are still struggling to move to the cloud. The Q&A walks you through the most common issues related to cloud storage—and how HPE Cloud Volumes put any remaining concerns to rest.
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Hewlett Packard Enterprise
Published By: LogRhythm     Published Date: Nov 01, 2018
The 13 Providers That Matter Most And How They Stack Up
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LogRhythm
Published By: Palo Alto Networks     Published Date: Sep 30, 2016
in our 36-criteria evaluation of automated malware analysis providers, we identified the 11 most significant ones — Blue coat, check Point, cisco, cyphort, Fidelis cybersecurity, Fireeye, Fortinet, intel Security, Palo Alto networks, lastline, and trend Micro — and researched, analyzed, and scored them.
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palo alto, automated malware, security, cloud, forrester report
    
Palo Alto Networks
Published By: Progress     Published Date: Mar 26, 2018
In our 37-criteria evaluation of enterprise health cloud providers, we identified the 10 most significant ones — ClearDATA, CloudMine, IBM, Kinvey, Medable, Microsoft, MphRx, NTT DATA, Salesforce, and SAS — and researched, analyzed, and scored them. This report shows how each provider measures up and helps healthcare CIOs make the right choice.
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Progress
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring. The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take. In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
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Dassault Systèmes
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help. According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive. Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
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Pure Storage
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
Published By: Group M_IBM Q3'19     Published Date: Jun 25, 2019
In our 27-criterion evaluation of global internetof-things (IoT) services for connected business operations providers, we identified the 14 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, Dimension Data, EY, HCL Technologies, IBM, Infosys, KPMG, PwC, Tata Consultancy Services (TCS), and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice.
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Group M_IBM Q3'19
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