Among the topics we discussed:

1. Let’s talk about the iPaaS sector, and what drives company interest in this sector?
2. What about the market for low code automation: what are a couple of key trends you see in 2023?
3. How is Tray.io addressing the needs of its clients? What’s the Tray.io advantage?
4. The future of low code automation? What developments can we expect in the years ahead?

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The post Tray.io CEO Rich Waldron on iPaaS and Low Code Automation appeared first on eWEEK.

Among the topics we covered: 

• Clearly it appears that tech will face headwinds in 2023. It seems that a recession or slowdown is ahead. How do you expect this to influence tech next year?
• Digital transformation remains top of mind for tech execs. What will drive digital transformation in the year ahead?
• Supply chains have gotten more attention during the pandemic than ever before. You’ve mentioned how supply chain control towers will be critical for achieving resiliency. Please explain.
• Let’s look beyond next year, out a few years ahead. What’s a core tech trend that companies need to be preparing for now?

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The post Infosys Consulting CEO Andrew Duncan on Tech Headwinds in 2023 appeared first on eWEEK.

Among the topics we covered:

• First let’s briefly define MLOps, machine learning to enhance operations. What’s your nutshell definition?
• As you survey the business market, how would you describe the current MLOps adoption? In its infancy? Moving toward mainstream?
• What are the most typical challenges that company face as they deploy MLOps?
• A few best practices for MLOps?
• The future of MLOps? What are some key milestones we can expect in the years ahead?

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The post Capital One’s Abhijit Bose on Best Practices for Machine Learning appeared first on eWEEK.

Among the topics we discussed: 

• What is Emotion AI, and what are a couple of key trends you see driving the sector?
• What can companies do to improve consumer trust in AI?
• How is Uniphore addressing the AI needs of its clients?
• The future of Emotion AI? What are some major improvements we can expect in the years ahead?

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The post Uniphore’s Sylvain Tremblay on Emotion AI appeared first on eWEEK.

Among the topics we discussed: 

• What trends are moving the RPA market here in 2022? It feels like the technology is still quite new but gaining rapid adoption.
• As companies move to adopt intelligent automation, what obstacles typically occur? What advice would you give?
• What’s the Automation Anywhere approach to these enterprise challenge?
• The future of intelligent automation? What milestones should we expect?

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The post Automation Anywhere CEO Mihir Shukla on Intelligent Automation appeared first on eWEEK.

Among the topics we covered: 

• As you survey the growth of low code and conversational AI, what are a couple of key trends you see in 2022? What’s driving the sector?
• As companies look to deploy more low code and/or conversational AI, what advice would you give them?
• How does CodeGen help companies? What’s the advantage of CodeGen?
• The future of low code and/or conversational AI? What are some key milestones we can expect in the years ahead?

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The post Salesforce Chief Scientist Silvio Savarese on Conversatational AI appeared first on eWEEK.

Both QRadar and Splunk are leaders in the Security Information and Event Management (SIEM) space. Both offer broad monitoring and analytics of security incidents, potential threats, and analysis of logs.

Buyers looking for a general SIEM platform are likely to find both on their list of strong candidates. Overall, though, there are plenty of differences that will matter greatly to buyers with different goals in mind. Here’s a look at both SIEM tools, and how they compare.

Also see: Secure Access Service Edge: Big Benefits, Big Challenges

QRadar vs. Splunk: Key Feature Comparison

The Splunk platform encompasses searching, monitoring, and analyzing of a vast amount of IT data to identify data patterns, provide metrics, diagnose problems and aid in business and IT decision making.

To understand the scope of Splunk: SIEM can be considered just one small part of its feature arsenal. Beyond security, it takes in Application Performance Monitoring (APM), compliance, automation, orchestration, forensics, as well as plenty of features related to IT service management (ITSM) and IT operations management (ITOM).

Splunk’s wide range of products and features are aggregated within the Splunk Observability Suite. The platform can be used to analyze, ingest, and store data for later use, as well as detect issues impacting customers. Overall, it offers a breadth of management. Those wishing to manage SIEM, ITOM and ITSM in an integrated fashion will find Splunk to be a fine tool to do the job. It offers a wealth of real-time visualization and analysis features, as well as management and monitoring.

QRadar is a SIEM solution that defends against threats while scaling security operations through integrated visibility, detection, investigation, and response. It provides security teams with centralized visibility into enterprise-wide security data and actionable insights into the highest priority threats.

Security analysts can work from one pane of glass in QRadar to quickly understand their security posture, identify the most critical threats, and drill down to get more details, helping to streamline workflows and eliminate the need to pivot between tools. Its anomaly detection capability helps to reduce events to a prioritized list of the most important alerts. It leverages automated, advanced analytics and threat intelligence to speed investigation time.

Splunk represents itself as a complete platform to handle everything related to SIEM, security and ITOM. It ventures far beyond SIEM. QRadar is more tightly focused on SIEM and overall security. Your existing stack of security and management tools, therefore, should be considered before deciding between Splunk and IBM. Those with outdated tools that are in need of a complete overhaul should probably gravitate to Splunk due to its much wider feature set. Why buy five different management tools when you can buy one from Splunk and have them all integrated?

But where Splunk goes wider, IBM goes deeper on the security side. As it is built on IBM Cloud Pak for Security, the open architecture of QRadar provides a great many additional and fully integrated security capabilities that save time enriching, correlating, and investigating threats. Artificial intelligence, pre-built playbooks, automatic root-cause analysis, and MITRE ATT&CK mapping are all part of the package. This can help to greatly improve the speed of investigation.

On security features, IBM wins.

QRadar vs. Splunk: Comparing Implementation and Ease of Use  

One potential challenge with QRadar is the size and scope of IBM. There are so many tools and capabilities available within the vast scope of IBM that sometimes products get lost. That said, IBM is investing a lot in QRadar so it appears it won’t suffer the same fate of other “lesser” IBM tools.

On implementation, a large collection of templates make the job of implementing the platform straightforward, relative to the typical SIEM deployment. Thus, users tend to report a shorter learning curve on QRadar than Splunk.

As for ease of use, Splunk gets the nod. Some users consider the UI of QRadar a little clunky and dated. Splunk, being a newer platform, looks more modern.

Splunk wins on ease of use; IBM on ease of implementation.

QRadar vs. Splunk: Comparing Cloud and On-Premises

Splunk was born and raised in the cloud. It does not offer on-premises appliances but provides software for on-site deployment if desired. But most use it in the cloud.

IBM has gone to great lengths over the past decade to shed its old school on-premises reputation. Its CloudPak initiative has QRadar available either in the cloud or on-premises. That said, Splunk still wins in the cloud and QRadar wins for on-premises. Splunk can be installed directly through the cloud onto a public, private, or hybrid cloud setting. IBM, too, can provide cloud-based SIEM. 

QRadar vs. Splunk: Integration Comparison

A big strength of Splunk and a key differentiator is its ability to integrate data streams from a huge number of sources. Some users ingest several PB per day. It supports a wide range of data formats like.xml, .csv and .json file. Those with needs that require such data stream integration from multiple data formats should opt for Splunk, as it offers over 1,000 add-on applications in its app store. It also heads a coalition of 30 partners on security collaboration.

QRadar integrates very well with a great many IBM products and especially with the many security tools that fall under the QRadar umbrella. A large, open ecosystem integrates EDR, SIEM, NDR, security orchestration and response (SOAR) and threat intelligence solutions. But integrations beyond the IBM world are limited.

Splunk wins on integration.

Also see: Best Website Scanners 

QRadar vs. Splunk: Comparing Analytics and Search

Splunk is all about monitoring and analyzing data generated from various machines. It is great for analyzing the huge number of log files generated by enterprise systems. Splunk eliminates the need for IT to spend hours trawling through all the logs looking for that performance needle in the IT haystack. It makes use of the search processing language to find terms present in log files. For example, Splunk offers a wealth of real-time visualization and analysis features. If real-time management and monitoring are vital, then this one is a no contest. But it does come at a price.

QRadar, however, benefits from IBM’s long-term leadership in Artificial Intelligence – this is a major advantage. It can tap into IBM Watson and other IBM analytic capabilities for threat identification and analysis. This also adds a greater level of automation to SIEM.

IBM wins on analytics.

How Do QRadar and Splunk Prices Compare?

Neither Splunk nor QRadar come cheap. The various modules within Splunk have a reputation for being expensive. Further, upselling can send the budget much higher. If you need performance monitoring – that adds in an APM module, and slowly other modules creep in and the price tag rises. This is normal enough in IT. But when you are already dealing with a pricey platform, it is important to determine what you really need and what you can dispense with.

QRadar is also expensive. Perpetual licenses are available with general licensing done based on the number of events and flows received in the event collector. Those who are already partners or significant users of IBM products and services benefit from considerable package discounts.

Splunk prefers to price based on the maximum daily data volume. Thus, the most economic platform will vary from enterprise to enterprise based on how the workloads run and performance/data patterns.

Should You Choose QRadar or Splunk?

Splunk and QRadar are both excellent tools designed to solve a great many challenges related to security and performance monitoring. You can’t go wrong too far wrong with either one. Both are strong in SIEM. User ratings overall from a variety of IT review sites show little difference in rating between Splunk and QRadar. Both are regarded as leaders in the latest Gartner SIEM Magic Quadrant.

Splunk is a much broader platform and toolset that proves invaluable in rapidly analyzing log files and making sense of mountains of data so IT knows what is going on, and it encompasses a far wider range than just security. Whether it’s a performance slowdown or a security incursion, Splunk is a good way to stay one step ahead of trouble. QRadar can rival Splunk on many features directly related to SIEM, but it provides a much deeper set of integrated security tools.

In the end it comes down to needs. Those wanting an all-encompassing security and IT management platform will find Splunk closer to their needs. Additionally, those with aging applications that are ready for a major management makeover will find Splunk a good fit. It covers a large amount of ground.

But if it is only SIEM that is needed, the equation shifts. QRadar wins on many fronts, and offers a great many other security bells and whistles, too. And those invested in the IBM universe should likely not look beyond QRadar.

The post Splunk vs. IBM QRadar: 2022 Software Comparison appeared first on eWEEK.

Among the topics we discussed:

• There is a lot of buzz around the metaverse. What exactly is the metaverse? How will this help us work more collaboratively?
• We now live in a world where “hybrid work” – collaboration between professionals across locations and time zones – is primary and essential. What trends do you see driving this overarching theme?
• What’s the Nvidia advantage when it comes to supporting hybrid work and virtual worlds. Let’s talk about key tools.
• The future of hybrid work? Clearly it will only get more primary. What milestones or major developments do you foresee?

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The post NVIDIA’s Richard Kerris on Hybrid Work and the Omniverse appeared first on eWEEK.

Among the topics we discussed:

• What’s the state of the enterprise VR market? What are a couple of key trends you see in 2022?
• What’s a common problem that companies face with deploying enterprise VR? Any advice you would give?
• How is Manage XR addressing the needs of the market? What’s your advantage?
• The future of enterprise VR? When do you expect mainstream adoption?

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The post ManageXR CEO Luke Wilson on Enterprise VR Management appeared first on eWEEK.

Among the topics we covered:

• Prediction: “Data deluge, data gravity, and the need for predictive insights will propel the Edge toward whole new application development and experience paradigms.”

I agree that the Edge is a new era dawning, but doesn’t the Edge also pose an entirely new range of security concerns?

• Prediction: “Ethical, responsible, and explainable AI – from design and development to deployment – will become a top priority for organizations and governments worldwide if we are genuinely interested in an inclusive future for all.”

No doubt that AI offers enormous potential. Are you concerned that AI may be hard to govern, because the massive investment poured into it may dwarf that of any governing organization?

• Prediction: “The future of innovation and business is tied to unlocking the power of data in an application-driven world created with a secure, observable, and API-first mindset.”

This clearly seems like a good idea. How close are we to this ideal? Are most major applications currently built with an API-first approach?

• Prediction: “Only through the delivery of predictive and seamless Internet access will the metaverse be realized, and access to technology and innovation become ubiquitous.”

This is interesting – what timeframe do you see for the metaverse becoming a reality?

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The post Cisco’s Liz Centoni on the Future of Edge, Ethical AI and the Metaverse appeared first on eWEEK.