This Week in Data Preparation (August 3, 2020)
14 links in this week’s post: 5 articles (on machine learning, AI adoption, among others, contributed by Naveego, Landing AI, Zimana, SPR, and PixelTitan), 1 initiative announcement (by the British Computer Society), 1 interview (with the founder and CTO of Openet), 5 company announcements (by Talend, Cisco Cloud Security and Matillion, Qlik and IDC, BigID, and Naveego), 1 article with the top 7 big data and analytics funding rounds of 2020 so far (Sisense, Snowflake, Dremio, Pyramid Analytics, Collibra, Domino Data Lab, and Fivetran), and 1 capital raise announcement (by Explorium).
For Hospitals, Data Hygiene Is Critical To Patient Care. Whether hospital leaders are assessing treatment strategies or rescheduling deferred non-critical care visits, they “need immediate access to all of their patients’ medical records and to be able to analyze them stat,” says Katie Horvath, CEO of Michigan-based data management company Naveego.
AI Adoption Hitting Barriers? Here’s How to Get to the Next Level. When manufacturers strategically deploy artificial intelligence into their operating environments, the results can be game changing. “One of the major points of failure in AI projects for manufacturers is the jump from a working model in the lab to a working model in production.” comments Landing AI’s Quinn Killough.
How Machine Learning is Influencing Diversity & Inclusion. “Championing the right diversity and inclusion choices is an essential reminder that ethics is never divorced from technology.” explains Pierre DeBois, founder of Zimana, a small business analytics consultancy that reviews data from Web analytics and social media dashboard solutions, then provides recommendations and Web development action that improves marketing strategy and business profitability.
Autoencoders’ example uses augment data for machine learning. “The essential principle of an autoencoder is to distill the input into the smallest amount of data necessary to then reconstruct that original input with as little difference as possible between the input and the output,” said Pat Ryan, executive vice president of enterprise architecture at digital tech consultancy SPR.
To Drive Revenue, Focus on Where your Data is Going. In this special guest feature, Christopher Caen, CEO at PixelTitan, discusses how companies have to realize the goal for understanding effective use of their corporate data is knowing not where it is created, but where it is going.
Data scientists are used to making up the rules. Now they’re getting some of their own to follow. When it comes to data, there has been no lack of discussion and debate about ethics in the past years, but formal standards to guide data scientists themselves are still lacking. Now industry bodies in the UK are hoping to change that, as the British Computer Society (BCS), along with the Royal Statistical Society (RSS) and the Royal Academy of Engineering (RAEng), have kicked off work to establish industry-wide professional standards in data science. Rebecca George, the president of the BCS, told ZDNet that “the stars are now aligned” to gather input from different organizations, and inject them into one central set of rules that will guide the field.
Business Person of the Month July 2020: Joe Hogan, founder and CTO of Openet. Joe Hogan founded Openet in Dublin in 1999. In an interview with Enterprise Ireland, he says: “The problem I saw was that all the major telecoms network equipment suppliers had their own interpretation of standards and there was no consistency with how mobile call records were collected from the network and passed to billing systems.”
Talend Bolsters Efforts To Help Companies Cross The Data Quality Chasm. Christal Bemont, CEO of Talend, shared that the company offers two critical products during an interview with Lopez Research. First, it provides companies with a complete set of data that’s available anywhere and anytime. Second, it provides methods to track the quality and integrity of that data. She refers to this as the completeness and the quality of data.
Cisco Cloud Security modernizes data analytics with Matillion ETL for Snowflake. “Matillion ETL for Snowflake checks all of the boxes for us,” said Tim McDonough, business intelligence manager at Cisco Cloud Security. “Matillion ETL for Snowflake’s ability to extract and transform data from various sources helps the team deliver business insights daily, future-proofing Cisco’s infrastructure,” said Matillion Chief Executive Officer Matthew Scullion.
Qlik and IDC launch D2I Score tool, following revenue increase findings. “Organisations across the globe are missing a crucial opportunity to impact their performance by turning data into ongoing business value due to gaps in leaky data pipelines,” said James Fisher, chief product officer at Qlik.
BigID Launches First App Marketplace for Privacy & Data Discovery. “With the introduction of the industry’s first App Marketplace for actioning and automating data insights we not only continue our tradition of innovation leadership but also demonstrate our commitment to customers to provide them an open and extensible platform that will address their needs today and also tomorrow,” said Dimitri Sirota, CEO and co-founder of BigID.
Naveego Launches Complete Data Accuracy Platform. “Simply put, accurate data drives accurate decisions, but keeping massive amounts of specialized data clean and accurate across all systems is very challenging, time consuming and costly,” said Katie Horvath, CEO of Naveego, in a statement.
Top 7 Big Data and Analytics Funding Rounds of 2020 (So Far). Big data and analytics funding rounds are increasingly common in what has become a very competitive vendor landscape. Solutions Review editors compiled this list of the top big data and analytics funding rounds so far in 2020.
Explorium raises $31 million to automate data prep with AI. Using machine learning, Explorium claims to automatically extract, engineer, aggregate, and integrate the most relevant features from data to power sophisticated predictive algorithms, evaluating hundreds before scoring, ranking, and deploying the top performers.
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