Helping organisations and UK GOV do cool things with data & analytics. Geek at heart, mother, movie lover, rose growing novice, always trying to get fit.
Ready to lead the AI revolution in government? Join us Dec. 10 for The Sector Series: Game-Changing AI Technology for Governments! Gain insights on ML’s impact on service delivery & decision-making. Register now: https://t.co/tG8R6OsJRm #AI#MachineLearning#PublicSector
This caught my eye, not just because growing old beats the alternative, but this is a recognised challenge across #publicsector. Read this GGF article which explains how #AI and #analytics can help citizens enjoy health and wellbeing in later life.
https://t.co/4kdZyvHwlz
Join us on May 31 to hear about the risks associated with Fraud, Waste, Error and Abuse as well as hearing case studies from who are tackling these problems through the use of data and analytics.
Register today ➡️ https://t.co/rozBzSaKIH
Join us for our Virtual 2022 Government Analytics Leadership Forum on 29 Nov to hear how SAS helps public address challenges. From our Canadian Gov Team - but the challenges are similiar, and the solutions are the same #government#analytics
More info 👉 https://t.co/S6cnd71vre
Agree, the National AI Strategy will signals the UK's intention to build the most pro-innovation regulatory environment. Early days, but in the right direction #saschat#trustworthyai#government
https://t.co/mBKP9Kwaqo
@sasforums A5.Need of an active AI regulator. The govt should establish a dedicated AI regulator. He should focus on guidelines, rules, and methodology for developing AI systems. Also work on adjusting the broader AI regulatory framework to the industry-specific use cases. #saschat
A4: Sticking with my ‘on the ground-level’ theme – unconscious bias staff surveys (of data scientists) has a role to play. Getting feedback, and then putting programs and training in place to ensure responsibility across the workforce #saschat#trustworthyai
A3: HBR have some good advice on how to ethically implement AI. Creating noise on the ground, and the institutional support is not always easy – organisational culture plays a big part. Arguably this is the biggest struggle. https://t.co/vRV8t5WVg2 #saschat#TrustworthyAI
A1. Algorithms are based on past data, if that past data treated people unfairly, then the algorithm's teacher is biased. Even when our data is more recent it may have been collected as convenient, rather than fair. #saschat
No holes in this use case! Potholes are costly for drivers and local authorities. Edge analytics and real-time computer vision can be used to proactively address road maintenance. #smartcities#edgeanalytics#computervision
https://t.co/JIVmFHQ01H
#analytics applied to data to combat the opioid epidemic. Analytics can help prevent misuse by prescribers, beneficiaries, manufacturers & distributors. #healthcare
@sasforums The gap is large, but the options and resources to help plug it are there - as are the opportunities for those #dataScientist, especially those working in #government. #saschat
A6. It’s great news for data talent - enhances career choices plus need for talent development – see @IainSte76712638 ‘NO TRAIN, NO GAIN’ blog https://t.co/9Tpcp13ZbB
#saschat#analytics#government
A6. Will drive up the demand data literate staff at all levels of GOV agencies empowered with modern analytics tools. Management and HR need to create a strong pool of #DataScience talent to do the “heavy lifting”. #saschat#analytics#government