Knowledge 2019 and ServiceNow’s Vision for Transforming the World of Work

In May 2019, Amalgam Insights attended Knowledge 2019, ServiceNow’s annual end-user conference. Since ServiceNow’s founding in 2004, the company has evolved from its roots as an IT asset and service management company to a company that supports digital workflow across IT, HR, service, and finance with the goal of making work better for every employee. In attending this show, Amalgam Insights was especially interested in seeing how ServiceNow was evolving its message to reflect what Amalgam Insights refers to as “Market Evolvers,” companies that have gained market dominance in their original market and taken advantage of modern mobile, cloud, and AI technology to expand into other markets. (Examples of Market Evolvers include, but are not excluded to, Salesforce, ServiceNow, Workday, Informatica, and Tangoe.) Continue reading “Knowledge 2019 and ServiceNow’s Vision for Transforming the World of Work”

Quick AI Insights at #MSBuild in an Overstuffed Tech Event Week

We are in the midst of one of the most packed tech event weeks in recent memory. This week alone, Amalgam Insights is tracking *six* different events:

This means a lot of announcements this week that will be directly comparable. For instance, Google, Microsoft, Red Hat, SAP, and ServiceNow should all have a variety of meaty DevOps and platform access announcements. Google, Microsoft, SAP, and possibly IBM and ServiceNow should have interesting new AI announcements. ServiceNow and Red Hat will both undoubtedly be working to one-up each other when it comes to revolutionizing IT. We’ll be providing some insights and give you an idea of what to look forward to.

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ICYMI: On Demand Webinar – Four Techniques to Run AI on Your Business Data

On October 17th, I presented a webinar with Incorta’s Chief Evangelist, Matthew Halliday, on the importance of BI architectures in preparing for AI. This webinar is based on a core Amalgam Insights belief that all enterprise analytics and data science activity should be based on a shared core of trusted and consistent data so that Business Intelligence, analytics, machine learning, data science, and deep learning efforts are all based on similar assumptions and can build off each other.

While AI is beginning to impact every aspect of our consumer lives, business data-driven AI seems to be lower on the priority list of most enterprises. The struggle to understand the practical value of AI starts with the lack of ability to make business data easily accessible to the data science teams. Today’s BI tools have not kept up with this need and often are the bottlenecks that stifle innovation.

In this webinar, you will learn from Hyoun Park and Matthew Halliday about:
  • key data and analytic trends leading to the need to accelerate analytic access to data.
  • guidance for challenges in implementing AI initiatives alongside BI.
  • practical and future-facing business use cases that can be supported by accelerating analytic access to large volumes of operational data.
  • techniques that accelerate AI initiatives on your business data.

Watch this webinar on-demand by clicking here.

Data Science Platforms News Roundup, September 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, Anaconda, Cambridge Semantics, Cloudera, Databricks, Dataiku, DataRobot, Datawatch, DominoElastic, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, Tableau, Talend, Teradata, TIBCO, Trifacta, TROVE.

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