In artificial intelligence, enterprises still not minding their data

Data is the raw material that fuels artificial intelligence and machine learning initiatives, but it actually can’t be that raw. It needs to be as accurate, timely and well-vetted as possible — or else AI will deliver erroneous or biased results. At this stage, most enterprises haven’t quite locked down the viability of the data employed within their AI efforts. 

Photo: Joe McKendrick

The potential biases at the code level in AI have been well documented in works such as Cathy O’Neil’s Weapons of Math Destruction, which calls for greater transparency in the algorithms that are driving decisions on everything from creditworthiness to corporate performance.

Data needs to be looked at as well, and efforts to do so are only beginning, according to O’Reilly’s latest survey of 1,388 data scientists, executives and IT professionals on AI adoption. The survey finds that AI efforts are maturing from prototype to production, but organizational support remains an obstacle. “Data governance isn’t yet a priority,” the report’s authors, Roger Magoulas and Steve Swoyer, report  They indicate only about one-fifth of respondents “have implemented formal data governance processes and/or tools to support and complement their AI projects.” 

Practitioners and executives recognize that data governance is a pressing requirement for AI, and a number do intend to put more data governance in place. One in four respondents, 26%, say their organizations will likely put formal data governance processes or tools in place over the coming year, and at least 35% expect to do so within the next three years. Still, this means close to two-thirds of AI adopters will still lack strong data governance mechanisms.

“AI adopters—much like organizations everywhere—seem to treat data governance as an additive rather than an essential ingredient,” Magoulas and Swoyer state. They urge AI adopters to incorporate such best practices and mechanisms as data provenance, data lineage, consistent data definitions, and rich metadata management into their AI projects from the start. “Think of data governance as analogous to observability in software development,” they add. Data governance is all about ensuring transparency in the results AI delivers. 

The O’Reilly survey also finds TensorFlow leads as the most widely adopted AI tool, cited by almost 55% of respondents. TensorFlow also was the top choice in the previous year’s survey. Python-related tools also continue to dominate the AI development scene, Magoulas and Swoyer observe. “Four of the five most popular tools for AI-related work are either Python-based or dominated by Python tools, libraries, patterns, and projects.” Along with TensorFlow, this includes scikit-learn (48%), PyTorch (36%) and Keras (34%). 

In terms of machine learning techniques, supervised learning remains the most popular, used among 73% of mature AI sites. Supervised learning also led in the previous year’s survey. Deep learning follows at about 66%, and model-based methods at 60%. Multiple methods are in play at a majority of companies. 

About the author

E-Crypto News was developed to assist all cryptocurrency investors in developing profitable cryptocurrency portfolios through the provision of timely and much-needed information. Investments in cryptocurrency require a level of detail, sensitivity, and accuracy that isn’t required in any other market and as such, we’ve developed our databases to help fill in information gaps.

Related Posts

E-Crypto News Executive Interviews

Automated trading with HaasBot Crypto Trading Bots

Crypto Scams

Millions in Cryptocurrency Stolen by Scammers in the Last Month According to Tenable Research
November 24, 2021
Behind The Scenes: How this Crypto Community Responded to + $50m Hack
October 18, 2021
Crypto Scams
Crypto Scams Still Persistent In 2021, SEC Warns About Red Flags To Watch
September 9, 2021
Poly Network
Here’s How Hackers Stole Over $600 million in the Poly Network Attack
August 12, 2021
The World’s Most Infamous Crypto Hacks and Scams
July 31, 2021

Blockchain/Cryptocurrency Questions and Answers

Crypto casinos
How Does Bitcoin Casino Work + 2021 Beginner’s Guide
November 8, 2021
How to Buy and Sell Cryptocurrency
November 8, 2021
What Are Bitcoin Futures And How Will They Work In 2022?
November 4, 2021
The Unconventional Guide to Ethereum
October 28, 2021
ICo Presale
The Science Behind ICO Presales…
October 14, 2021

CryptoCurrencyUSDChange 1hChange 24hChange 7d
Bitcoin57,044 0.39 % 0.53 % 1.22 %
Ethereum4,575.1 0.18 % 1.70 % 5.04 %
Binance Coin622.95 0.06 % 0.02 % 4.96 %
Tether0.9986 0.03 % 0.08 % 0.23 %
Solana223.90 0.05 % 5.27 % 0.81 %
Cardano1.550 0.15 % 1.44 % 11.64 %
XRP0.9904 0.32 % 1.41 % 7.15 %
Polkadot30.87 2.19 % 17.29 % 10.73 %
USD Coin1.000 0.14 % 0.20 % 0.17 %
Dogecoin0.2215 0.68 % 1.42 % 7.23 %

Bitcoin (BTC) $ 56,703.00
Ethereum (ETH) $ 4,552.24
Binance Coin (BNB) $ 621.20
Tether (USDT) $ 0.999893
Solana (SOL) $ 221.77
Cardano (ADA) $ 1.54
XRP (XRP) $ 0.982717
USD Coin (USDC) $ 0.998237
Polkadot (DOT) $ 36.43
Dogecoin (DOGE) $ 0.206549