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July 16: From BI to AI (AWS, CognitiveScale, GoodData, Hazelcast, Informatica, StrongBox Data Solutions, Vertica)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Product Launches and Enhancements

Informatica Announces Unified Data Governance and Catalog As-a-Service in the Cloud

On July 13, Informatica announced the launch of its Cloud Data Governance and Catalog solution as a key part of its Intelligent Data Management Cloud. As part of Informatica’s continuing expansion to the cloud, Informatica customers will now be able to do data cataloging, quality, data and machine learning model governance through the same “pane of glass.” Amalgam Insights has a forthcoming post on Informatica’s integration of data governance and machine learning model governance.

AWS Announces General Availability of Amazon HealthLake

On July 15, Amazon debuted Amazon HealthLake, a data lake for healthcare and life sciences data that falls under HIPAA requirements. HealthLake uses machine learning to extract and appropriately transform unstructured health data to prepare it for use in analytics and AI models. The service is generally available now.

CognitiveScale Announces Launch Of Cortex Fabric Version 6

On July 15, CognitiveScale announced the release of Cortex Fabric Version 6, a low-code AI app development platform. Cortex 6 lets “citizen developers” build AI-based apps with their “Campaigns” visual framework, focusing on business optimization and process automation use cases.

GoodData and Vertica Partner to Accelerate Cloud-Native Self-Service Analytics Adoption in the Enterprise

GoodData and Vertica announced a strategic partnership on July 15. GoodData.CN, GoodData’s cloud native analytics services, will connect to Vertica’s data warehouse to allow non-technical users to perform self-service analytics.

Hazelcast Unveils Real-Time Intelligent Applications Platform

On July 14, Hazelcast announced the Hazelcast platform, which will allow users to merge streaming data with data at rest. Because Hazelcast can handle realtime event streams as well as access to data lakes and data warehouses, it can act as a single point of access for all types of data. Hazelcast is currently in beta; general availability is expected in August 2021. In addition, certain features of Hazelcast will also be available through the Hazelcast Platform for IBM Cloud Paks.

StrongBox Data Solutions Announces StrongLink 3.2

StrongBox Data Solutions announced the availability of StrongLink 3.2, a data management platform. StrongLink automates policy enforcement across a wide variety of data sources and storage types, aiming to eliminate data silos while providing replication to protect said data’s existence. StrongLink 3.2 is available immediately.

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July 9: From BI to AI (AnyVision, Google Cloud, IBM, Immuta, Obviously AI, Opaque)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

AnyVision Raises $235M from SoftBank Vision Fund 2 and Eldridge

AnyVision, a facial recognition AI company, has closed a $235M series C funding round led by SoftBank’s Vision Fund 2 and Eldridge. Amit Lubovsky, director of SoftBank Investment Advisors, will join the board as part of the transaction. Funding will be directed towards further development of AnyVision’s Access Point AI software, as well as further innovation of its SDKs for edge computing functionality. AnyVision’s funding announcement comes at an interesting time for facial recognition startups; concerns around data privacy are subjecting companies creating and using facial recognition to growing scrutiny.

Obviously AI Increases Seed Round Funding to $4.7M

Obviously AI, a no-code AutoML startup, has raised an additional $1.1M from the University of Tokyo Edge Capital Partners, as well as Trail Mix Ventures and B-Capital. The funding will go towards extending Obviously AI to serve more use cases, as well as expanding Obviously AI’s presence in Asian markets. The concept of no-code AI model building is the unicorn everyone dipping into data science is seeking, but Obviously AI is currently limited to supervised learning use cases, and broadening their scope to cover unsupervised learning is the next … obvious step.

Opaque Raises $9.5 Million Seed to Unlock Encrypted Data with Machine Learning

Opaque, a secure data analytics platform, announced July 7 that it had raised a seed round of $9.5M led by Intel Capital. Race Capital, The House Fund, and FactoryHQ also participated in this round. Opaque lets companies analyze encrypted cloud-based data without exposing the data to the cloud provider. Funding will go towards Opaque’s open source contributions to the data security community.

Product Launches and Updates

Immuta Becomes First Data Access Control Solution for Snowflake Partner Connect

On July 7, Immuta, a cloud data control access provider, announced its availability in the Snowflake Partner Connect portal. Snowflake users will now be able to use Immuta to configure automated data access control around their data. The Immuta Snowflake integration launches as an Immuta instance preconfigured with a Snowflake user’s connection credentials, minimizing setup complexity and time needed.

Hiring and Departing

Google announces Adaire Fox-Martin as its new EMEA Cloud president

Google Cloud has appointed Adaire Fox-Martin as its new EMEA Cloud president. Fox-Martin moves over from a 14-year tenure at SAP, most recently as an Executive Board Member leading Global Customer Success. Prior to that, Fox-Martin spent nearly two decades at Oracle.

IBM’s Jim Whitehurst Says He’s Leaving to Find a New Chance to Run Something

Over the holiday weekend, IBM announced that Jim Whitehurst would be stepping down as president, though he would remain in an advisory role for the time being. In an interview this week with Barrons, Whitehurst acknowledged that his reasoning is that he wants to be a CEO again, and with the appointment of Arvind Krishna to that spot at IBM, his own chances of holding that position were unlikely. Whitehurst had come over to IBM with the Red Hat acquisition, having held the CEO position there since 2007.

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July 2: From BI to AI (Anaconda, Facebook, JetBrains, Tableau, TIBCO)

In anticipation of the long holiday weekend for Americans and Canadians, news was fairly light in the data world this week; most announcements were around updates and enhancements to existing products.

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Product Launches and Updates

Tableau Extends Augmented Analytics in Tableau 2021.2

On June 29, Tableau announced the release of Tableau 2021.2, with new and enhanced augmented analytics capabilities. “Ask Data,” a capability that allows users to ask business questions of their data using natural language, and “Explain Data,” a function that provides explanations of data points, both have new interfaces that enhance users’ understanding of their data. Other new features in Tableau 2021.2 include the ability to save clean data from Tableau Prep into Google BigQuery, and to implement machine learning models from Amazon SageMaker within Tableau dashboards.

TIBCO Spotfire 11.4 LTS Release

TIBCO announced the release of Spotfire 11.4 LTS on June 30. Key features in this release include the ability for nontechnical users to embed advanced analytics functions into Spotfire apps, and over a dozen new custom visualizations and apps available as “Spotfire Mods” on the TIBCO Exchange.

Anaconda Collaborates with Intel to Improve Speed and Scale for Machine Learning Workflows

Anaconda announced enhancements to its ongoing partnership with Intel, including better access to libraries and packages optimized for Intel hardware to enhance the performance of machine learning models. Of note, the Intel Extension for Scikit-learn is now available in Anaconda’s package repository; Anaconda says models built using the extension run 27-36x faster than models based on the baseline Scikit-learn.

JetBrains: Announcing Datalore Enterprise

On June 29, JetBrains announced the availability of Datalore Enterprise, an on-premises collaborative version of their single-user cloud-based data science platform. Datalore Enterprise will provide JetBrains collaboration tools atop Jupyter Notebooks, along with existing features of Datalore such as PyCharm coding assistance tools.

Facebook AI Announces Habitat 2.0, plus Introducing the Habitat-Matterport 3D research data set

Finally, Facebook AI announced the latest version of their Habitat platform (Habitat 2.0), a simulation platform that lets AI researchers teach machines to navigate and interact with both virtual and physical 3D environments. Improvements include ReplicaCAD, an extension of Facebook’s Replica data set, built to support movement and object manipulation as a digital twin, In collaboration with Matterport, Facebook AI also published HM3D, an open-source licensed data set consisting of over 1,000 indoor 3D scans. (This last year, prospective property buyers couldn’t go to open houses, but they could at least investigate a given property’s digital twin, and Matterport supplied a number of these virtual house tours for property listings.) Future AI-enhanced assistants and robots will need to interact with complex 3D environments; advancing “embodied” AI will be a top priority in order to build such assistants. Suggested scenarios include asking one’s AI-enhanced glasses where your housekeys were last observed, or asking a robot to check your desk for your laptop and if it’s there, to bring it to you.

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June 25: From BI to AI (including Apache Kafka, Confluent, Dataiku, Datarobot, Domino Data Lab, Firebolt, Incorta, Palantir, Primer, Rasgo, Splunk)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Product Launches and Updates

Domino 4.4 Now Available

On Tuesday, June 21, Domino Data Lab announced the availability of Domino 4.4. New capabilities include Durable Workspaces, allowing data scientists to operate with multiple environments open at once; CodeSync, enhancing Domino’s existing reproducibility capabilities with native integration with common Git repositories; and the abilities to encrypt data in transit and mount NFS volumes directly to Domino. Domino 4.4 is available for existing customers immediately.

Dataiku Launches in AWS Marketplace

On June 21, Dataiku announced its availability in the AWS Marketplace. AWS customers can now use Dataiku’s visual interface to orchestrate their data pipelines and machine learning models applied to their cloud data, and Dataiku projects based on AWS-hosted data can also incorporate AWS Machine Learning Services such as computer vision or text analytics.

Palantir, DataRobot Partner to Bring Speed and Agility to Demand Forecasting Models

DataRobot and Palantir announced a new partnership on Thursday, June 24, around solving demand forecasting problems for retailers. The new Demand Forecasting framework links Palantir Foundry with DataRobot’s Model Development and Model Deployment capabilities. Prepped data is piped directly from Foundry into DataRobot where forecasting models are trained, then brought back into Foundry for operationalization.

Splunk Launches New Security Cloud

On June 22, Splunk debuted the Splunk Security Cloud, a SecOps platform with integrated security analytics and threat intelligence and an open ecosystem to correlate data across all security tools. Splunk also announced a $1B investment from Silver Lake; the funding will go towards further growth of Splunk and its ongoing cloud transformation, as well as managing a newly authorized share repurchase program.

Funding

Firebolt Ignites Growth with a $127M Series B Funding Round

Firebolt, a cloud data warehouse company, raised $127M in Series B funding this week, following up on a $37M Series A round from December 2020. All investors from the A round participated, including Angular Ventures, Bessemer Venture Partners, TLV Partners, and Zeev Ventures, with new investors Dawn Capital and K5 Global joining the B round. Firebolt will use the funding to expand its product, engineering, and go-to-market teams.

Incorta Raises $120M in Series D Funding

Wednesday, June 23, Incorta announced a $120M Series D funding round led by Prysm Capital. Other participants included GV, Kleiner Perkins, M12, Sorenson Capital, Telstra Ventures, Wipro Ventures, and new investor National Grid Ventures. This round of funding will go towards expanding Incorta’s go-to-market operations and meeting demand for Incorta’s data analytics platform.

Primer Raises $110M Series C

Primer, a natural language processing company, raised $110M in a Series C funding round, announced on Tuesday, June 24. Lee Fixel’s Addition led the round, with participation from existing investors Amplify Partners, Avalon Ventures, Bloomberg Beta, DCVC, Lux Capital, and Section 32, as well as new investors Crumpton Ventures, J2 Ventures, Sands Capital, and Steadfast. Primer also announced two partnerships: one with Microsoft to make Primer available within Azure, as well as a partnership with Palantir to make Primer available within the Palantir platform.

Rasgo Raises $20M Series A

Rasgo, a feature store, announced that it had raised an additional $20M in funding as a Series A round. Insight Partners led the round, with participation by existing investor Unusual Ventures. Rasgo will use the funds to expand its team with a focus on engineering talent, accelerate product development, and build its go-to-market.

Confluent IPO

Confluent, a data streaming platform, had its IPO June 24, raising $828M. Even with an initial offering price of $36/share, above its intended range of $29-$33/share, shares of Confluent closed up at over $45/share by the end of the first day of trading to reach a valuation of over $11 billion, indicating the continued importance of streaming analytics in supporting two key challenges: real-time context and real-time response.

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June 18: From BI to AI (Altair SmartWorks, Crate.io, Dataiku, Dataiku Online, Datarobot, Neo4j, SAS, Transform)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Neo4j Announces $325 Million Series F Investment, the Largest in Database History

On June 17, Neo4J announced a $325M Series F funding round. Eurazeo led the round, with participation from existing investors Creandum, Greenbridge Partners, and One Peak, as well as new participants DCTP, GV, and Lightrock. Neo4J plans to use this money along three key vectors: buffing up their multi-cloud service offerings, growing capabilities to support enhanced machine learning models in graph-based data science, and expanding their market reach. Amalgam Insights’ Hyoun Park assesses the Neo4J funding more thoroughly, and highlights the importance of graph databases as the next step in enterprise analytics, and the key role they will have in supporting the next generation of machine learning models.

Introducing Transform: a ‘metrics store’ to make data accessible

Transform, a centralized metrics store, has come out of stealth, announcing $24.5M in funding across two rounds. Index Ventures and Redpoint Ventures led the round, with participation from Fathom Capital and Work Life Ventures. Transform is looking to double their headcount with this funding. General availability of Transform is projected for Fall 2021.

Crate.io Secures $10 Million in Funding

Crate.io, the developers of the CrateDB database platform, raised $10M in additional funding, bringing their total funding up to $31M. Draper Esprit and Vito Ventures participated in this round. The funding will be used to expand sales, grow functionality and add more partner integrations, and promote the open source developer community around CrateDB.

Product Launches and Updates

Cloud-native Altair® SmartWorks™ Empowers Enterprises to Make Data-driven Decisions

On June 14, Altair debuted Altair SmartWorks, a cloud-native analytics platform. SmartWorks integrates the data prep capabilities of Altair Monarch and their machine learning and predictive analytics solution Knowledge Studio under one roof, providing access to analytics, machine learning, and IoT no matter one’s comfort level with coding. SmartWorks is available now via Altair Units, their subscription-based licensing model.

Dataiku Announces Fully Managed, Online Analytics Offering

On June 14, Dataiku launched Dataiku Online, providing cloud-based access to their machine learning platform for smaller organizations without the extensive IT departments of their larger counterparts. In particular, seed-stage companies and other young startups are eligible for highly discounted pricing. A 14-day free trial is available now. Via Dataiku Online, customers can access data storage tools from Google BigQuery, Amazon Redshift, and Snowflake, and Snowflake customers can likewise access Dataiku Online through the Snowflake Marketplace.

DataRobot 7.1 Introduces Enhancements to Take AI Projects to the Next Level

On June 15, DataRobot announced its 7.1 platform release. Key new features include MLOps Management Agents, which manage remote machine learning models’ lifecycles; the no-code AI App Builder to turn deployed models into AI-based apps without needing customers to write code; and the feature discovery integration with Snowflake, announced last week at Snowflake Summit. The 7.1 release is available now.

Hiring

SAS Names Jenn Chase as Chief Marketing Officer, Executive Vice President

SAS promoted Jenn Chase, Senior Vice President and Head of Marketing, to the Chief Marketing Officer and Executive Vice President position. Chase’s 20-year career with SAS includes time in both R+D and marketing. As SVP, Chase initiated the relaunch of the SAS brand earlier this year, and led the pandemic-induced online pivot for the two most recent SAS Global Forums.

DataRobot Expands C-Suite with New CPO, CTO, and CMO

DataRobot grew its C-Suite this week, pulling in Elise Leung Cole from Cisco to serve as the new Chief People Officer, and promoting Michael Schmidt and Nick King from within as the new CTO and CMO respectively. Cole previously was the VP & Deputy General Counsel at Cisco, leading the team supporting sales and marketing, and creating compliance, training, and career developments within the organization. Prior to her time at Cisco, Cole served as General Counsel at AppDynamics.

Schmidt came to DataRobot as the founder of Nutonian, which DataRobot acquired in 2017. He helped develop DataRobot’s Automated Time Series product, and led the partnership with the US government to assure speedy and equitable COVID-19 vaccine trials. King joined DataRobot in April as the SVP of Marketing. Prior to that, King held executive positions at Cisco, VMWare, Google, and Microsoft. The expanded CMO role puts King in charge of global marketing and brand strategy.

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June 11: From BI to AI: Special Snowflake Edition (Alteryx, Amazon, Dataiku, DataRobot, Domino Data Lab, Informatica, Talend, and of course, Snowflake)

This week’s “From BI to AI” update is a little different from the usual. Snowflake Summit occurred June 8-10, bringing a slew of announcements related to Snowflake’s new features, and many Snowflake partners timed their own related announcements in sync with the Summit.

Snowpark and Java UDFs

On Tuesday, June 8, Snowflake launched Snowpark, their “developer experience.” Data scientists, data engineers, and developers can build in Java or Scala within Snowpark, and then execute their workloads directly within Snowflake.

Also on the coding side, Snowflake announced support for Java UDFs (user-defined functions) within Snowflake, allowing customers to import their custom code and business logic to Snowflake. Both Snowpark and Java UDFs within Snowflake are currently in private preview, with public preview coming soon.

Snowflake also announced the Snowpark Accelerated Program, where partner vendors can access Snowflake technical experts and be provided with additional exposure to existing Snowflake customers.

Snowflake Partner Announcements

Numerous Snowflake partner vendors followed up with their own announcements on Wednesday, June 9.

Snowflake can now be used as a data source within Amazon SageMaker Data Wrangler. This integration allows data prep for machine learning in SageMaker to occur in Snowflake.

Alteryx announced a deeper integration of Alteryx with Snowflake. Alteryx Designer is now directly available on Snowflake; data prep, data blending, and automated analytics processing are pushed down into Snowflake for better performance and scalability. Joint Alteryx-Snowflake customers can also augment existing data sources with those available on the Snowflake Data Marketplace. Current Snowflake customers have access to a free trial of Alteryx within their Snowflake account.

Dataiku debuted their Snowflake integration with Snowpark and Java UDFs. Dataiku-Snowflake users will be able to push computation down to Snowflake, so that data prep and scoring can happen within Snowflake.

DataRobot’s new Snowflake integration also joins DataRobot with Snowpark, growing the existing DataRobot-Snowflake partnership. Data prep tasks from Zepl (a recent DataRobot acquisition) can be pushed into Snowflake for feature engineering, while providing a preconfigured environment for model development within Snowpark. DataRobot’s Java Scoring Code also pairs with Snowflake Java UDFs to enable DataRobot models to do scoring within Snowflake.

Domino Data Lab inaugurated its Snowflake partnership this week with Snowpark integration as well. Joint Domino-Snowflake customers will be able to build data pipelines within Snowpark, and execute MLOps workflows from Domino within Snowflake.

Building on its 2020 Partner of the Year status, Informatica announced tighter integrations between its Intelligent Data Management Cloud and Snowflake, offering support for Java UDFs for joint Informatica-Snowflake customers and advancing its mass-ingestion ELT capabilities. Users will be able to transform, cleanse, and govern data from a wide variety of enterprise applications automatically, en masse, on its way to ingestion in Snowflake.

Finally, Talend revealed Talend Trust Score for Snowflake. This new capability will allow joint Talend-Snowflake users to verify data quality within Snowflake, using Snowpark and Java UDFs.

(Sidenote: the acquisition of Talend by Thoma Bravo is proceeding apace; Thoma Bravo has begun the tender offer to acquire all outstanding ordinary shares and American Depository Shares of Talend.)

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

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June 4, 2021: From BI to AI featuring Alation, Cazena, Cloudera, Datacoral, Dataiku, Interative, and Stemma

This week’s roundup From BI to AI features Alation, Cazena, Cloudera, Datacoral, Dataiku, Interative, and Stemma. If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Acquisitions

Cloudera Acquires Datacoral and Cazena, is Acquired by Clayton, Dubilier, and Rice and KKR for $5.3 Billion

On June 1, Cloudera announced that it had agreed to be acquired by investment companies Clayton, Dubilier, and Rice, and KKR for a $5.3B sum, transitioning to a private company. Financial results for Q12021 were released at the same time, with subscription revenue up 7% year over year.

Cloudera also acquired two SaaS companies in separate transactions. Datacoral enables data transformations and data integration, while Cazena implements quick cloud data lakes. Both companies provide fully managed services that facilitate data preparation for self-service analytics.

Funding

Alation Announces $110 Million Series D to Accelerate Growth

On Thursday, June 3, Alation, an enterprise data intelligence platform announced that it had raised a $110M Series D funding round. Riverwood Capital led this round of funding. Other participants also included existing investors Costanoa Ventures, Dell Technologies Capital, Icon Ventures, Salesforce Ventures, Sapphire Ventures, and Union Grove Partners, along with new investments from Sanabil Investments and Snowflake Ventures. Amalgam Insights’ Hyoun Park wrote about this example of “investipartnering,” and provides recommendations for the data management community.

Stemma Launches, Reports Seed Funding of $4.8 Million

On Thursday, June 3, Stemma announced that it had raised $4.8M in seed funding, led by Sequoia, and subsequently officially launched their data catalog product. Built atop the open-source data catalog Amundsen, Stemma provides enterprise-scale management capabilities and an intelligence layer based on relevant context.

MLOps Company Iterative Raises $20 Million Series A Funding Led by 468 Capital

Iterative.ai, an MLOps platform, announced Wednesday, June 2 that it had raised a $20M Series A round. 468 Capital and Florian Leibert led the round, which also included prior investors True Ventures and Afore Capital. Iterative.ai also debuted its first commercial product, DVC Studio, a visual front-end on its open source projects DVC (Data Version Control) and CML (Continuous Machine Learning) intended to enhance collaboration above and beyond data scientists’ usual Git methods.

Product Launches and Updates

Dataiku Now Available in the Microsoft Azure Marketplace

On June 1, Dataiku announced availability through the Azure Marketplace. Azure customers can now purchase Dataiku with their existing Azure cloud budget and relationship, taking advantage of integrated access to Azure’s cloud storage and compute resources for their data science workflows.

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May 28, 2021: From BI to AI: A Weekly Recap of Data and Analytics

If you would like your announcement to be included in Amalgam Insights’ weekly data and analytics roundups, please email lynne@amalgaminsights.com.

Funding

Atlan | Series A Fundraise

Atlan, a SaaS data collaboration platform company, announced a Series A funding round of $16M on May 25. Insight Partners led the round, supported by existing investors Sequoia Surge and Waterbridge Ventures, and other individual investors. Atlan plans to use the funding for hiring across marketing, sales, and customer success departments.

OpenAI Startup Fund

On May 26, OpenAI announced that it would be investing $100M to partner with early-stage AI startups. Applications are currently open; likely partners will be companies in fields such as health care, climate change, and education, as well as companies addressing productivity improvement use cases. Microsoft and other OpenAI partners contributed to the fund.

Product Launches and Updates

Databricks held its 2021 Data + AI Summit May 24-28. Among the announcements:

Databricks Unites Data and Machine Learning Teams with Launch of Databricks Machine Learning

Databricks launched Databricks Machine Learning, unifying Databricks’ existing machine learning capabilities with two new features, Databricks AutoML and Databricks Feature Store. Databricks AutoML automates many of the more tedious aspects of the experimentation and training phases of building machine learning models, while Databricks Feature Store can find all features that have already been defined associated with the raw data being used, helping data scientists avoid unnecessary duplicate work. Databricks Machine Learning is currently in public preview for existing Databricks customers.

Databricks Unveils Delta Sharing, Open Protocol for Real-Time, Secure Data Sharing and Collaboration Between Organizations

Databricks also announced a new open source project, Delta Sharing. Delta Sharing is an open protocol for securely sharing data across organizations in real time. This is Databricks’ fifth major open source project, referred to in last week’s From BI to AI. Delta Sharing is included within Delta Lake, and supported by a number of data providers and software vendors such as AWS, Google Cloud, and Tableau.

Databricks Enhances Data Management Capabilities with Launch of Delta Live Tables and Unity Catalog

Databricks announced two new services to enhance data reliability, governance, and scale. Delta Live Tables will simplify the management and creation of data pipelines on Delta Lake, and Unity Catalog will let users discover and govern their organization’s data assets. Unity Catalog is supported by the new Delta Sharing, referenced above. Delta Live Tables is now in preview for Databricks customers, and Unity Catalog has a waitlist for access.

Google Cloud Launches Three New Services with Unified Data Cloud Strategy

At Google Cloud’s inaugural Data Cloud Summit, Google announced three new products: Dataplex, Datastream, and Analytics Hub. Dataplex is a smart data fabric to simplify data management. Datastream enables the replication of data streams in real time from Oracle and MySQL databases to Google Cloud services. Analytics Hub will allow Google Cloud customers to securely share data and insights within and outside of their organization, building on BigQuery’s existing sharing capabilities. Dataplex and Datastream are both available in preview, while Analytics Hub’s preview is “coming soon.”

AWS Announces General Availability of Amazon Redshift ML

On May 27, AWS announced the general availbility of Amazon Redshift ML. Redshift ML lets users create, train, and deploy machine learning models using SQL commands, leveraging Amazon SageMaker.

Tellius Enhances AI-Driven Decision Intelligence Platform with Proactive and Personalized Insights

Following on its earlier announcement of Series A funding, Tellius announced significant improvements to its AI-driven decision intelligence platform. Among these key enhancements, Tellius’ new Quick Start capability helps organizations with limited data science resources get started by guiding users through a wizard, going from identifying metrics of interest to relevant tailored analytics content. Tellius Feed alerts users to significant changes in measured metrics, along with root cause analysis.

Microsoft Announces Two New Machine Learning Capabilities

At Microsoft Build this week, Microsoft announced two new machine learning capabilities to help users accelerate AI model deployment. Azure Machine Learning managed endpoints help developers and data scientists rapidly deploy and operationalize machine learning models by automating key underlying steps, and the introduction of PyTorch Enterprise on Azure. Microsoft customers using Microsoft Premier and Unified Support have access to PyTorch Enterprise, and can request prioritized hotfixes to PyTorch.

Hiring

DataRobot Taps Tableau’s Damon Fletcher as Chief Financial Officer

Tableau’s Damon Fletcher has moved over to DataRobot as the company’s new CFO. Fletcher previously held the CFO role at Tableau, helping it shift to a subscription-based model; prior to that, he was a CPA with PricewaterhouseCoopers LLP. DataRobot is currently a private company, but Fletcher’s experience as the CFO of public Tableau may prove relevant for a potential DataRobot IPO.

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May 21, 2021: From BI to AI: A Weekly Recap of Data and Analytics

If you would like your data- or analytics-related announcement to be included in Amalgam Insights’ weekly roundups, please email lynne@amalgaminsights.com.

Product Launches and Updates

Alteryx Debuts Alteryx Machine Learning, Enhances Alteryx Intelligence Suite
On Wednesday, May 19, at its Inspire conference, Alteryx debuted Alteryx Machine Learning, an automated machine learning platform. Alteryx Machine Learning supplies guided automated machine learning with an “Education Mode” and ready-to-use machine learning models that both analysts and data scientists can use in their workflows. It’s currently available to Alteryx customers in early access.

In addition, Alteryx revealed updates to Alteryx Innovation Suite that extend its own AutoML capabilities to address unstructured and complex data, such as natural language processing, text mining, computer vision, topic modeling, and sentiment analysis.

Alteryx also announced the formation of Alteryx Ventures, a $50M fund that will invest in companies that enhance the analytics and data science processes already available on the Alteryx platform.

Google Cloud Launches Vertex AI
On Tuesday, May 18, at Google I/O, Google Cloud announced the general availability of Vertex AI, a managed machine learning platform. Vertex AI unifies Google Cloud’s machine learning services in one environment, simplifying the process of building, training, and deploying models. Google claims Vertex AI can train machine learning models with almost 80% fewer lines of code than its competitors.

SAS Expands Support for Additional Cloud Providers
On Tuesday, May 18, at the SAS Global Forum 2021, SAS announced the availability of SAS Viya on AWS and GCP, with Red Hat OpenShift coming later in 2021. Viya had been available exclusively on Microsoft Azure since November 2020.

Coiled Cloud Launches at Dask Distributed Summit After Securing $21M in Series A Funding
At Dask Distributed Summit on Tuesday, May 18, Coiled, a data, AI, and ops platform, announced the general availability of Coiled Cloud. Coiled Cloud provisions distributed environments on-prem and in the three major clouds while simplifying operational management of machine learning models.

Coiled also announced $21M in Series A funding led by Bessemer Venture Partners, putting Coiled at $26M in total funding. The new round is planned to accelerate market adoption and product innovation, as well as fund further open source development of Dask, a Python-based library for parallel computing.

Funding Rounds

Immuta Announces $90 Million in Series D Funding
On May 20, Immuta announced that it had secured $90M in Series D funding. Existing investors Citi Ventures, Dell Technologies Capital, DFJ Growth, Intel Capital, Okta Ventures, and Ten Eleven Ventures participated in the round, joined by new investors Greenspring Associates, March Capital, NGP Capital, and Wipro Ventures. Immuta will use the funding to accelerate R+D, expand sales and marketing to reflect growing demand in the US, EMEA, and APAC, and enhance its strategic partnerships among other cloud data service providers. In its most recent release, Immuta announced integrations with Amazon Redshift and Azure Synapse.

Explorium Closes $75M Series C Amid Soaring Demand for External Data
Explorium, an automated external data platform, closed a $75M Series C funding round on May 18. Insight Partners led the round, supported by Fort Ross Ventures, Vintage Investment Partners, Zeev Ventures, Emerge, F2 Venture Capital, 01 Advisors and Dynamic Loop Capital. Explorium’s total funding is now at $127M.

Upcoming Events

May 24-28, 2021: Databricks to Unveil Fifth Major Open Source Project at 2021 Data + AI Summit
Databricks will host the Data + AI Summit May 24-28. The theme of the event is “The Future is Open,” referencing Databricks’ commitment to the open source community; to go along with the theme, Databricks is expected to unveil a fifth major open source project at the event. To register for this event, please visit Data + AI Summit.

June 15-17, 2021: Altair Future.AI Global Event
Altair will hold its Future.AI event June 15-17. The event is expected to highlight advances in analytics and AI. To register for this event, please visit Future.AI.

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May 14, 2021: From BI to AI: A Weekly Recap of Data and Analytics

Amalgam Insights is relaunching its weekly summary of important announcements in the data and analytics space. If you would like your announcement to be included in these roundups, please email lynne@amalgaminsights.com.

Product Launches and Updates

DataRobot Delivers New Platform Enhancements

At their AI Experience Worldwide event this week, DataRobot announced a number of enhancements to its enterprise AI platform, with the goal of making it easier for every user to have AI be useful for them.

* Composable ML will allow advanced AutoML users with the requisite coding background to tweak existing DataRobot “blueprints” for their specific use cases.
* Continuous AI extends DataRobot’s MLOps product by letting users schedule relevant retraining sessions for models in production. These events can be scheduled on a regular basis, or when specific events occur such as data drift. In addition, new challenger models can be automatically created with AutoML to ensure the model that best fits the data is the one in production.
* The No Code AI App Builder will allow any user to turn a model into an application without needing to code, letting business users and decision makers leverage their model’s predictions in a more timely manner.
* Bias and Fairness Production Monitoring enables bias testing and monitoring of production models, warning when bias is detected and what factors are responsible.
* Model Grader will score existing models on four vectors: data quality, model robustness, model accuracy, and model fairness. At a glance, customers will be able to understand how their models perform with these criteria in mind.

In addition, DataRobot also partnered with Hivecell to deploy AI in edge computing environments, launched an AI for Health Incubator, and joined a World Economic Forum initiative to address ethics in artificial intelligence.

IBM Announces New Hybrid Cloud and AI Capabilities

During this week’s Think event, IBM announced new capabilities to bring data and AI together.

* IBM debuted AutoSQL, a new capability within IBM Cloud Pak for Data. Customers will be able to automate access to their data, even across hybrid and multi-cloud environments, without having to move or copy said data. This will speed up the use of said data while mitigating the risks of creating further data silos that occur when data is moved.
* IBM launched Watson Orchestrate, an interactive AI that will assist users in performing “tasks” from procuring approvals to preparing proposals more quickly in order to focus on more strategic tasks. Watson Orchestrate is currently available in preview as part of the IBM Automation Cloud Paks.

Altair One Cloud Platform Debuts New Features and Functionality

On Monday, May 10, Altair launched Altair One, a portal for the Altair product suite, including access to Altair’s data analytics and management tools and its high-performance computing (HPC) capabilities. By integrating its AI and analytics tools with its base of computer-aided engineering and design tools into a single suite, Altair One can provide value for organizations whose use cases have combined needs for HPC and AI together.

Acquisitions

DataRobot Acquires Zepl to Enhance Enterprise AI Platform Capabilities for Advanced Data Scientists

In addition to the updates to its platform noted above, on Tuesday, May 11, DataRobot announced that it had also acquired Zepl, a cloud data science and analytics platform. Zepl will be incorporated into the DataRobot platform in its notebook form, allowing more advanced data scientists to code their own tasks and models manually within DataRobot, and collaborate with business analysts in one place to extend their initial model-building efforts.

New Hires

Alteryx Appoints Paula Hansen as Chief Revenue Officer

Monday, May 14, Alteryx appointed Paula Hansen as their Chief Revenue Officer. Hansen has held the CRO position before at SAP Customer Experience, and before that served as Vice President of Cisco’s Global Enterprise organization. Hansen brings broad enterprise solutions sales capabilities to this position that are in line with Alteryx’ plans for future growth as a foundational platform for supporting analytics and AI.

General

U.S. Senate Committee on Commerce, Science, and Transportation Approves Technology Research Bill

On Wednesday, May 12, the U.S. Senate Committee on Commerce, Science, and Transportation approved the Endless Frontier Act (S.1260), a $110 billion bill to promote technology research over the next five years. Among the key technology areas included were artificial intelligence, quantum computing, biotechnology, and energy. Amalgam Insights believes that this bill will fundamentally affect the product development maps of AI, cybersecurity, and quantum computing vendors and provide standards that will be incorporated into RfPs and other software sourcing exercises.