An IBM Security webinar featuring Gartner analyst Anton Chuvakin
Gone are the days of a clearly defined network perimeter, in which you can confidently rely on static rules to detect intruders. As the cyber threat landscape has evolved, so has the vendor landscape. With all the options available, do you know which threat detection solutions to invest in – much less which ones will still exist in five years?
Listen to this IBM Security webinar featuring Gartner analyst Anton Chuvakin to learn:
Similarities and differences between SIEM and UEBA solutions
Predictions on the future of these two markets
How QRadar’s single-platform approach to SIEM and UEBA can help you not only detect more threats, but also more accurately determine if a threat is real versus benign
In our 36-criteria evaluation of security analytics (SA) providers, we identified the 11 most significant ones — BAE Systems, E8 Security, Fortinet, Hewlett Packard Enterprise (HPE), Huntsman Security, IBM, Intel Security, LogRhythm, RSA, Securonix, and Splunk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps security and risk (S&R) professionals make the right choice.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
Marketing and technology partners must collaborate as never before in order to delight and engage customers “in the moment.” Previously stove-piped functions are starting to work together to take a holistic approach to create great digital experiences at enterprise scale, but organizations see the need for more work to create relevant, integrated digital customer experiences in real time.IBM commissioned Forrester Consulting to discover how developers and marketers are working together to provide customers exceptional digital experiences reliably, quickly, and seamlessly.The study found that while the mandate to collaborate has been heard, there is still work to be done to move to the next level and put in place technology, processes, and culture to create digital customer experience in real time.
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes
IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery
IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
Organizations are looking to use DXPs as they move from web-centric to more pervasive, multichannel digital experiences. This Magic Quadrant will help those responsible for a range of customer-, employee- and partner-facing initiatives find the most suitable vendor for their needs.
Learn from industry leaders on how to maximize omni-channel fulfillment, eliminating unnecessary costs and optimizing souring decisions.
Read this ebook to learn about:
How changing customer expectations require anywhere, anytime fulfillment of their orders and what this means for retailers
How you can manage the rising cost and complexity of these increasing demand
How AI technology can help you identify, and therefore minimize these costs, and determine the best sourcing decisions
In this report, Forrester reveals how order management systems (OMS) solve the omni-channel deficiencies of traditional systems, allowing retailers to orchestrate complex order processing scenarios - from the point of capture, through the supply chain, and to the point of fulfillment. Read the report today.
The implementation of a distributed order management (DOM) system no longer has to be a daunting endeavor. Gartner surveyed 17 DOM software vendors and interviewed 25 retail clients with recent DOM implementation experience to develop a best practices guide.
Read the report to understand the keys to a successful DOMS implementation.
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
IBM SPSS predictive analytics solutions help uncover key predictors that lead to online student success or failure. Identifying specific issues early, target intervention measures for at-risk students, and take the appropriate steps to help improve online student graduation rates.