Actifio Highlights the Value of Data at Data Driven 2018

I recently went to Actifio Data Driven 2018, Actifio's global user conference held at the Fontainebleau Miami Beach. At Data Driven, Actifio's customers and partners showcased how and why they use Actifio solutions. I had a number of key takeaways from the conference.

Actifio clearly understands the value and importance of data. This was not just another data protection company adopting the term "Data Management" to frame themselves as more than just backup and recovery. Data Driven 2018 demonstrated that Actifio understands that the value comes from how customers use the data, not just that the data is made available. In session after session and customer meeting after customer meeting, I saw how customers and partners discussed the uses of the data made available by Actifio. I was impressed by the real-world benefits that were highlighted by everyone.

Topics: Data Protection Data Management Actifio Systems Management

Discovering Odaseva Data Management-as-a-service: Salesforce Backup, Archive, and GDPR

Salesforce has become pervasive as the cloud-based CRM solution of choice in many enterprises, yet its backup, restoration, archiving, and management of data in general can be complex and expensive. We recently met with a very interesting player in this space: Odaseva. The company offers a Salesforce-only third-party solution that builds on the Salesforce APIs to deliver more predictable and robust SLAs for data-management-as-a-service, including some new capabilities focused on meeting the GDPR challenges.  

Topics: Backup Data Protection Data Management Salesforce software-as-a-service (SaaS) GDPR

Talking Data Analytics (ESG 360 Video Series)

In this installment of ESG's 360 Video Series, "Talking Technology," Mike Leone offers his insights into data analytics - it being a popular, almost prerequisite, term these days in any IT corporate or product pitch...its frequency often only matched by a paucity of understanding!

Mike points out that the capability of data analytics is to not only make IT itself better (more productive, for instance) but to allow IT to support better operations (such as using insights to make previously unseen opportunities manifest). In an IT world - indeed simply a world! - that is increasingly data-driven, Mike explains how data analytics is not only an integral part of the emerging data platforms space, but can also be deployed in/from/with the cloud.

Topics: Data Management Big Data Analytics ESG 360 Video Series

Accelerating to a Data-centric Architecture with Pure Storage

Having taken a few days break from the color orange, I’m ready to share my thoughts on Pure Accelerate. The show started with Pure Storage CEO Charlie Giancarlo talking about stools, with the three legs of a stool representing the core components of the data center: compute, networking, and storage. We were left with a new Pure vision anchored in storage, but focused on more than storage: a data-centric architecture that addresses the simplicity, agility, and performance requirements of the modern business. 

Topics: Data Management artificial intelligence pure storage NVMe Pure Accelerate NVIDIA

Delivering on the Promise of AI and ML at Dell Technologies World 2018

We’re off and running at DTW 2018. As expected, there’s been a whole slew of announcements, but for this blog I’ll be focusing on data analytics, specifically AI and ML. Dell EMC is starting to weave a very effective story across all of their product lines, between their server, storage, and workstation divisions, their Ready Solutions, and Services (think pillars of the modern data center).

Topics: Data Management machine learning artificial intelligence dell-emc Dell Technologies World

Amazon Throws Its Hat Into the Blockchain Ring

If you haven’t been paying attention, welcome to the year of blockchain. It was only a matter of time until the next big hyperscaler announced a blockchain service offering. There’s IBM with Hyperledger, Microsoft, Oracle, and now AWS has some skin in the game.

Late last week, Amazon announced AWS Blockchain Templates with a goal of simplifying the deployment and management of customized blockchains. Start by selecting the underlying blockchain technology – either Ethereum or Hyperledger – and instantly deploy and customize. You can selecte the type of consensus algorithm, set access controls (think private blockchain), and create applications with smart contracts. And being AWS, you have the ability to easily manage and monitor the service, as well as leverage the on-demand resource capabilities, meaning you only pay for what you consume when you consume it.

Topics: IBM Microsoft Data Management Huawei Amazon AWS Blockchain hyperledger

Blockchain Progresses in the Enterprise IT Space (Video)

As blockchain continues to progress outside of cryptocurrencies and into the enterprise IT space, organizations are beginning to look for ways to leverage the benefits of blockchain. Let me stop right there. You’re probably thinking, “What benefits? It’s just Bitcoin.” While Bitcoin gets the headlines, as it should since it’s the top use case within the financial vertical and has a massive consumer-based following, blockchain is so much more than Bitcoin. It’s truly disruptive technology that will enable organizations to recognize massive efficiency gains and cost savings across all verticals, from communications & media, and transportation & logistics to business services and retail. Check out my video below where I talk about the top reasons why blockchain should matter to you.

Topics: IBM Microsoft Cybersecurity Data Management infrastructure Blockchain hyperledger

Is It Too Late For Oracle to Enter the Cloud Analytics Space?

So Oracle has officially entered the cloud analytics space. Building off the announcement at Oracle Open World last fall, yesterday they officially released their autonomous data warehouse for the cloud. And it’s a big deal for them. Built on their latest 18c database, the autonomous data warehouse brings the potential for a new level of simplicity. It leverages machine learning to ensure constant uptime by automatically (hence “autonomous” everywhere in their announcement) protecting, securing, and repairing the database. On top of the promised simplicity, they tout the ability to lower costs and perform faster than the competition. OK, Oracle, well played. I’m intrigued, maybe even a little excited, but the reality is that Oracle is still behind. They (self-admittedly) lost the cloud infrastructure war, and I’m nervous that they could lose this one too if they don’t play their cards right.

Topics: Azure Data Management Oracle data warehouse AWS google cloud platform Cloud Platforms & Services

Artificial Intelligence and Machine Learning - More Than Just Buzzwords

The traction over the last few years in the artificial intelligence (AI) and machine learning (ML) space is remarkable, and I’m not just talking about consumer-based products like self-driving cars, or virtual assistants like Google Assistant, Alexa, or Siri. While those products get the headlines, AI/ML is rapidly spreading across the enterprise IT space. I feel like I can’t go a day without a company mentioning AI or ML as part of their product or forward-looking strategy. It’s not just for crazy, sci-fi predictive analytics projects in a bunker somewhere. While that definitely still happens, AI and ML (and deep learning too) are being used across all aspects of IT: big data, cloud, IoT, security, infrastructure, systems management, etc.

Topics: Data Management machine learning artificial intelligence big data and analytics

Analytics in the Cloud – Usage Is Only Going Up (Video)

So you have a decision to make: behind door number 1 is a huge, costly on-prem infrastructure that requires expertise across a bunch of different tools involved in the data pipeline for support, and ongoing management and maintenance. Behind door number 2, you have a no-upfront-cost cloud infrastructure that requires minimal expertise, and a single point of support and management. Which do you pick? There are a lot of considerations, such as performance, availability, and arguably most importantly, long-term cost. What is my overall data footprint and growth over the next 3-5 years? How much data does my organization process on a monthly basis? Is the cloud a final destination for my data sets? And that’s just the start. Now with that said, for organizations that are looking into becoming more data-driven as quickly as possible without a potentially massive upfront investment, I would like to be the first to say…welcome to the cloud my friend.

Topics: Data Management big data and analytics