Categories
AI

Axway: Consumers want transparency in how orgs handle their data

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Most consumers using digital applications want companies to offer greater transparency in how they handle and track our data. A new study from API management company Axway found that 82% of Americans wish they knew what specific data companies have collected about them.

82% of Americans wish they knew what data companies had on them.

Only 45% of the participants in Axway’s study said companies were transparent about the ways they use data online. Axway analyzed new data from 1,000 US consumers concerned about data privacy and found that companies that eliminate friction with end users have an opportunity to build a foundation of trust.

Trust is a big priority for Big Tech when looking at data privacy. Axway’s study found that 77% of Americans say they feel like they are constantly being watched by large companies online, and 82% worry their online data may not be secure. This is clearly why 75% say they choose to work with businesses that are offering a more secure plan to protect personal data.

However, for 36% of that group, it still depends on how much they trust that company. More than half — 59% — of respondents agreed it’s worth giving companies access to their personal data if it results in a better user experience. That would suggest that internet users may opt into app tracking, — and research shows 39% of the respondents said they’d allow it. That figures rose to 52% if there was an option to opt-out at any time.

The findings are intriguing, especially since initial reports of the app tracking opt-in rates under  Apple’s new iOS policy hovered between 11% to 13%.

With just one third of the respondents stating they trust “Big Tech” more with their data compared to smaller, independent or local companies, and only 49% trust the large and smaller companies about the same, organizations should be looking for opportunities to build trust with their users.

Read Axway’s study in full.

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Categories
AI

Katana Graph raises $28.5 million to handle unstructured data at scale

Katana Graph, a startup that helps businesses analyze and manage unstructured data at scale, today announced a $28.5 million series A round led by Intel Capital.

Katana Graph was founded by University of Texas at Austin computer science professor Keshav Pingali and assistant professor Chris Rossbach. The company helps businesses ingest large amounts of data into memory, CEO Pingali told VentureBeat in a phone interview. The UT-Austin research group started working with graph processing and unstructured data two years ago and began by advising DARPA on projects that deal with data at scale. Katana Graph works in Python and compiles data using C++.

Like companies that deal with algorithm auditing, AIOps, and model monitoring and management services, startups have emerged to help businesses analyze and label data, which may be why Labelbox raised $40 million and Databricks raised $1 billion.

Katana Graph is currently working with customers in health, pharmaceuticals, and security.

“One of the customers we’re engaged with has a graph with 4.3 trillion pages, and that is an enormous amount of data. So ingesting that kind of data into the memory of a cluster is a big problem, and what we were able to do with the ingest time is reduce the ingest time from a couple of days to about 20 minutes,” Pingali said.

Today’s round included participation from WRVI Capital, Nepenthe Capital, Dell Technologies Capital, and Redline Capital.

Katana Graph was founded in March 2020 and is based in Austin, Texas. The company has 25 employees and is using the funding to expand its marketing, sales, and engineering teams.

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Categories
Tech News

Scientists say GPT-3 could handle your overloaded inbox so you can get back to work

A team of researchers from University College Maastricht recently published a study exploring the use of GPT-3 as an email manager. As someone with an inbox that can only be described as ludicrous, color me intrigued.