Tangoe Acquires MOBI to Strategically Expand Enterprise Mobility Capabilities

On December 5th, 2018, Tangoe announced the acquisition of MOBI, a leading managed mobility services organization based in Indianapolis, Indiana in the United States. With this acquisition, Tangoe increases its IT spend under management to over $40 billion, increasing its lead over other spend management vendors with multiple billions of dollars of enterprise technology under management including Flexera, Snow Software, Microsoft Azure Cost Management, CloudHealth by VMware, Calero, MDSL, Cass Information Systems, and Sakon.

Key questions to consider for this acquisition include:

  • Why did Tangoe decide to buy MOBI at this time? For its customer base? Corporate culture? Technology?
  • How does this acquisition affect enterprises seeking toolsets to assist with the orchestration and accounting of digital transformation initiatives?
  • How will work be split and coordinated between Tangoe’s Austin logistics warehouse and MOBI’s Indianapolis-based facilities?
  • What will Tangoe do with MOBI’s Robotic Process Automation initiative of Mobots?
  • Will Tangoe keep MOBI’s staff or will there be a bunch of high-quality mobility and support staff available?
  • What happens to MOBI partners who may compete with Tangoe?
  • Will MOBI customers be moved to the Tangoe Matrix platform immediately?
  • Will Tangoe contribute to the burgeoning Indianapolis tech scene that is currently one of the hottest startup spots in the country?

To learn more about which of these questions can be answered and which of these questions require greater due diligence, please read my full analysis, which is available at: https://amalgaminsights.com/product/amalgam-insights-market-milestone-tangoe-acquires-mobi-to-enhance-mobility-management-capabilities

Market Milestone – Looker Raises $103 Million E Round to Expand the Looker Data Platform

On December 6, 2018, Looker announced that it closed a $103 million E round led by Premji Invest, a private equity firm owned by Wipro chairman Azim Premji. This round also includes new funds from Cross Creek Advisors, a venture capital firm focused on late-stage investments with current investments including tech darlings such as Anaplan,…

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Tom Petrocelli Publishes Groundbreaking Report Defining Serverless Computing

On December 10th, 2018, Tom Petrocelli published the Market Guide for Serverless Computing entitled “Serverless Computing Provides New Solutions to Modern Problems” in conjunction with KubeCon + CloudNativeCon North America 2018.

This report was written in response to massive market confusion regarding the current definition of serverless computing and the categories of options that software, platform, and infrastructure architects can use to initiate serverless computing projects.

“Serverless can best be thought of as any computer system that abstracts the infrastructure for the developer, employs an event-driven model, and only consumes resources when needed.”

Tom Petrocelli, Research Fellow, Amalgam Insights

In this report, Petrocelli provides a definition of serverless computing, provides five key use cases for serverless computing, explores the economics of serverless computing, and provides 14 representative enterprise-grade solutions across open source projects, cloud services, and on-premises commercial products.

Amalgam Insights’ Market Guides provide an unbiased, third-party perspective for explaining new technology and service capabilities based on our decades of expert experience, briefings with leading technology vendors, and discussions with Early Adopter organizations.

To download the report, which will be available at no cost throughout the duration of KubeCon + CloudNativeCon North America 2018, please download at the following link: https://amalgaminsights.com/product/market-guide-serverless-computing-provides-new-solutions-to-modern-problems

Data Science and Machine Learning News, November 2018

On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx, Amazon, Anaconda, Cambridge Semantics, Cloudera, Databricks, Dataiku, DataRobot, Datawatch, DominoElastic, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, SnapLogic, Tableau, Talend, Teradata, TIBCO, Trifacta, TROVE.

Continue reading “Data Science and Machine Learning News, November 2018”

Red Hat Hybrid Cloud Management Gets Financial with Cloud Cost Management

Key Stakeholders: CIO, CFO, Accounting Directors and Managers, Procurement Directors and Managers, Telecom Expense Personnel, IT Asset Management Personnel, Cloud Service Managers, Enterprise Architects Why It Matters: As enterprise cloud infrastructure continues to grown 30-40% per year and containerization becomes a top enterprise concern, IT must have tools and a strategy for managing the cost…

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Observations on the Future of Red Hat from Red Hat Analyst Day

On November 8th, 2018, Amalgam Insights analysts Tom Petrocelli and Hyoun Park attended the Red Hat Analyst Day in Boston, MA. We had the opportunity to visit Red Hat’s Boston office in the rapidly-growing Innovation District, which has become a key tech center for enterprise technology companies. In attending this event, my goal was to learn more about the Red Hat culture that is being acquired as well as to see how Red Hat was taking on the challenges of multi-cloud management.

Throughout Red Hat’s presentations throughout the day, there was a constant theme of effective cross-selling, growing deal sizes including a record 73 deals of over $1 million in the last quarter, over 600 accounts with over $1 million in business in the last year, and increased wallet share year-over-year for top clients with 24 out of 25 of the largest clients increasing spend by an average of 15%. The current health of Red Hat is undeniable, regardless of the foibles of the public market. And the consistency of Red Hat’s focus on Open Source was undeniable across infrastructure, integration, application development, IT automation, IT optimization, and partner solutions, which demonstrated how synchronized and focused the entire Red Hat executive team presenters were, including

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Torchbearer Case Study: OceanX Delivers the Consumer Subscription Experience with Oracle Cloud Infrastructure

(Note: Torchbearer Case Studies provide enterprises with a strong example of the “Art of the Possible” in using technology to enhance their business environment. Amalgam Insights provides emerging best practices based on the experience of the Torchbearer to inspire and educate Early Adopter and Early Majority buyers seeking to develop a strategic advantage.)

At Oracle Open World, I was interested in learning more about the Oracle Cloud and its role in data and analytics. Although Oracle has admittedly been relatively late to the enterprise cloud, the Oracle Cloud was front and center throughout Oracle Open World and it was interesting to see how Oracle was able to bring up enterprise technology deployments across its portfolio. One example of enterprise success in working with the Oracle Cloud that stood out was from OceanX.

At Oracle Open World, OceanX won the 2018 Oracle Innovation Award for Data Management. OceanX is a spinoff of Guthy-Renker started in 2016 to provide an integrated subscription commerce platform which brings together e-commerce, fulfilment, customer service, and business analytics associated with direct-to-consumer subscription programs. This allows consumer brands to provide personalized and bespoke products in their subscription offerings and to build consumer relationships based on a holistic view of the customer’s preferences, purchases, and interactions.

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Containers Continue on Track for 2019: 3 Key Trends For the Maturing Container Ecosystem

Tom Petrocelli, Amalgam Insights Research Fellow

The past few years have been exciting ones for containers. All types of tools are available and a defined deployment pipeline has begun to emerge. Kubernetes and Docker have come to dominate the core technology. That, in turn, has brought the type of stability that allows for wide-scale deployments. The container ecosystem has exploded with lots of new software components that help maintain, manage, and operate container networks. Capabilities such as logging, load balancing, networking, and security that were previously the domain of system-wide software and appliances are now being brought into the individual application as components in the container cluster.

Open Source has played a big part in this process. The Cloud Native Computing Foundation, or CNCF, has projects for all things container. More are added every day. That is in addition to the many other open source projects that support container architectures. The ecosystem just keeps growing.

Where do we go from here, at least through 2019?

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Allego’s Point-in-Time Video Feedback Trains People Skills in the Sales Brain: A Market Milestone

 In a recently published Market Milestone, Todd Maddox, Ph.D., Learning Scientist and Research Fellow for Amalgam Insights, evaluated Allego’s Point-in-Time Video Feedback offering from a learning science perspective—the marriage of psychology and brain science. This involves evaluating the offering to determine whether it engages psychological processes and learning systems in the brain effectively. Amalgam’s overall evaluation is that Allego’s Point-in-Time Video Feedback offering is highly effective.

Allego’s Point-in-Time Video Feedback offering allows feedback to be inserted and embedded throughout the sales professionals’ videotaped pitch. This feedback can be targeted and specific to some aspect of the pitch at that point-in-time. From a learning science perspective, the sales professional can visualize themselves and “relive” the experience giving the pitch and can receive corrective feedback on the fly. This simulates real-time, interactive feedback and is much more effective at engaging the appropriate people skills brain regions than receiving feedback at the end of the pitch. It is also scalable, which is a serious challenge for truly interactive offerings.

For more information, read the full Market Milestone at https://www.allego.com/resources/amalgam-insights-market-milestone-video-feedback/.

 

Artificial Intelligence/Machine Learning (AI/ML) and Learning Systems in the Brain

Simulating Learning Processes in the Brain With AI/ML

Key Stakeholders: Chief Learning Officers, Chief Human Resource Officers, Learning and Development Directors and Managers, Corporate Trainers, Content and Learning Product Managers.

Why It Matters: The skills necessary for success in the corporate world are varied and include hard skills, people skills and situational awareness. While L&D is embracing the use of AI/ML to analyze learners’ data and to personalize learning paths, curate effective content, and attempt to better engage learners, what L&D has failed to embrace is the application of AI/ML to model each of these distinct learning systems, and their interactions.

Top Takeaway: Corporate learning vendors would be well served to develop AI/ML models that capture the processing characteristics of the three learning systems in the brain known to mediate hard skills, soft skills, and situational awareness learning. A comprehensive AI/ML model that captured the processing characteristics of each of these three distinct learning systems could be used to develop and test products and tools that optimize content curation, learning paths, engagement, and delivery processes that will differ substantially across systems and tasks to be learned.

Vendors with the Skillset and Expertise to Build this AI/ML Tool: Cornerstone, CrossKnowledge, IBM, Infor, LTG, Oracle, Saba, Salesforce, SAP, Workday, and likely many others.

Artificial Intelligence/Machine Learning and L&D

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