Hertha  Walsh

Hertha Walsh

1598138040

Why Government Technology Needs (Much) Better Governance

Dominic Cummings’ techno-enthusiasm is infectious — and, this year, it’s been spreading all over government.

There doesn’t appear to be a written plan — at least not in the public domain — but there are certainly recurring themes. This is a dream of a low-friction, innovation paradise in which numbers tell the truth while bureaucrats (and ethicists) get out of the way. It is less a vision for society, more an obsession with process and power.

The risks of this approach can be seen in the handling of the A level grading and the NHSX track and trace app. Both of these projects needed better governance processes — including open and transparent ways of working, forward planning, and the acceptance of external expert guidance – but instead, both have been allowed to experience significant failure, due in part to a culture of secrecy and a lack of oversight.

The New Technocracy

The emergence of a patchwork of UK innovation initiatives over the last few months is notable. Rather than fiddling with increments of investment, there is a commitment to large-scale, world-leading innovation and enthusiasm for the potential of data.

But there is also a culture of opacity and bluster, a repeated lack of effectiveness, and a tendency to do secret deals with preferred suppliers. Taken together with the lack of a public strategy, this has led to a lot of speculation, a fair few conspiracy theories, and a great deal of concern about the social impact of collecting, keeping, and centralising data.

But it seems very possible that there is actually no big plan — conspiratorial or otherwise. In going through speeches and policy documents, I have found no vision for society —save the occasional murmur of “Levelling Up” — and plenty of evidence of a fixation with the mechanics of government.

This is a technocractic revolution, not a political one, driven by a desire to obliterate bureaucracy, centralise power, and increase improvisation.

And this obsession with process has led to a complete disregard for outcomes.

Chips with Everything

Although there is no public strategy, there is a lot of disparate news coverage of the UK government’s technical present and future. The following is not a complete survey — just an indication of a few things in flight; doubtless there are many more.

There are plans for increased data sharing across the civil service, while the creation of a British DARPA to “boost transformative research” has been approved, and the UK is now — somewhat surprisingly — co-owner of “struggling mega-constellation start-up OneWeb”.

10ds is on its way — apparently a “pseudo start-up” based in No 10, driving a “quantitative revolution … to ensure all decision making is made on the best available evidence”, and NHSX have been working with Palantir to create a “single source of truth” for the pandemic.

Many of these initiatives are underpinned by a fascination with quantitative data — which is also telegraphed across many posts on Cummings’ personal blog.

Image for post

Bell Labs, Silicon Valley in the 1940s, via Mother Jones

#ethics #news #technology #uk-politics #government #go

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Why Government Technology Needs (Much) Better Governance
Hertha  Walsh

Hertha Walsh

1598138040

Why Government Technology Needs (Much) Better Governance

Dominic Cummings’ techno-enthusiasm is infectious — and, this year, it’s been spreading all over government.

There doesn’t appear to be a written plan — at least not in the public domain — but there are certainly recurring themes. This is a dream of a low-friction, innovation paradise in which numbers tell the truth while bureaucrats (and ethicists) get out of the way. It is less a vision for society, more an obsession with process and power.

The risks of this approach can be seen in the handling of the A level grading and the NHSX track and trace app. Both of these projects needed better governance processes — including open and transparent ways of working, forward planning, and the acceptance of external expert guidance – but instead, both have been allowed to experience significant failure, due in part to a culture of secrecy and a lack of oversight.

The New Technocracy

The emergence of a patchwork of UK innovation initiatives over the last few months is notable. Rather than fiddling with increments of investment, there is a commitment to large-scale, world-leading innovation and enthusiasm for the potential of data.

But there is also a culture of opacity and bluster, a repeated lack of effectiveness, and a tendency to do secret deals with preferred suppliers. Taken together with the lack of a public strategy, this has led to a lot of speculation, a fair few conspiracy theories, and a great deal of concern about the social impact of collecting, keeping, and centralising data.

But it seems very possible that there is actually no big plan — conspiratorial or otherwise. In going through speeches and policy documents, I have found no vision for society —save the occasional murmur of “Levelling Up” — and plenty of evidence of a fixation with the mechanics of government.

This is a technocractic revolution, not a political one, driven by a desire to obliterate bureaucracy, centralise power, and increase improvisation.

And this obsession with process has led to a complete disregard for outcomes.

Chips with Everything

Although there is no public strategy, there is a lot of disparate news coverage of the UK government’s technical present and future. The following is not a complete survey — just an indication of a few things in flight; doubtless there are many more.

There are plans for increased data sharing across the civil service, while the creation of a British DARPA to “boost transformative research” has been approved, and the UK is now — somewhat surprisingly — co-owner of “struggling mega-constellation start-up OneWeb”.

10ds is on its way — apparently a “pseudo start-up” based in No 10, driving a “quantitative revolution … to ensure all decision making is made on the best available evidence”, and NHSX have been working with Palantir to create a “single source of truth” for the pandemic.

Many of these initiatives are underpinned by a fascination with quantitative data — which is also telegraphed across many posts on Cummings’ personal blog.

Image for post

Bell Labs, Silicon Valley in the 1940s, via Mother Jones

#ethics #news #technology #uk-politics #government #go

Top five technologies among young entrepreneurs

With transformational changes seen in the business and technology front, Entrepreneurs’ view towards technologies is changing. Here are the top technologies that young entrepreneurs can embed to increase their business performance.

#top five technologies among young entrepreneurs #upcoming and established technologies #best technologies for entrepreneurs #selection of better technologies #top five technologies #business and technology

Mikel  Okuneva

Mikel Okuneva

1600012800

What Exactly Is Data Governance?

The first step is to understand what is data governance. Data Governance is an overloaded term and means different things to different people. It has been helpful to define Data Governance based on the outcomes it is supposed to deliver. In my case, Data Governance is any task required for:

  • Compliance: Data life cycle and usage is in accordance with laws and regulations.
  • Privacy: Protect data as per regulations and user expectations.
  • Security: Data & data infrastructure is adequately protected.

Why is Data Governance hard?

Compliance, Privacy, and Security are different approaches to ensure that data collectors and processors do not gain unregulated insights. It is hard to ensure that the right data governance framework is in place to meet this goal. An interesting example of an unexpected insight is the sequence of events leading to leakage of taxi cab tipping history of celebrities.

#databases #big-data-and-governance #data-lineage #data-governance #what-is-data-governance #data-governance-explained #data-governance-and-privacy #data-governance-problems

Lokesh Kumar

1603438098

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

You may also read more blogs mentioned below

How to Become a Salesforce Developer

Python VS R Programming

The Scope of Hadoop and Big Data in 2021

#top trending technologies #top 10 trending technologies #top 10 trending technologies in 2021 #top trending technologies in 2021 #top 5 trending technologies in 2021 #top 5 trending technologies

Technology trends are changing the aspect of future

We have seen an upsurge of technological tools used in the past decade. Smart Phones have taken over the world and with that, the use of the internet has become an integral part of people’s lives.

What we have come across in the past decade was shaped by the efforts of tech companies like Apple, Google, Facebook, and Microsoft.

They were the key players in shaping the face of the IT industry. It will be interesting to see how technology trends in 2020 will shape the future of the upcoming decade. We already have got hints regarding some of the coolest technology that will be trending in 2020 in the last few years.

Top 8 Technology Trends in 2020

Here is the list of top 8 latest technology trends in 2020 that will be buzzing all around the world in the years to come.

  1. Artificial Intelligence
  2. Robots
  3. Computer Vision** and Face Recognition**
  4. Self Driving Cars
  5. Blockchain
  6. Quantum Computing
  7. Robotic Process Automation
  8. Edge Computing

1. Artificial Intelligence

Lots of research gave been going on in the field of Artificial Intelligence and efforts have been made to attribute machines with human intelligence. Computer Scientists are in the process of building smart machines that are capable of performing tasks that generally requires human intervention.

Some of the tools that are AI-enabled, and you have been using it for quite a time are –

  • Personal Assistants — Microsoft’s Cortana, Apple’s Siri, Google Search, Amazon’s Alexa
  • IBM’s Watson
  • YouTube’s Recommendation is surely not a coincidence, that is a small example of Artificial Intelligence in action

Read: “Top 10 Web Development Trends That will be in Demand in 2020

The examples we mentioned above fall under the category of Narrow AI as each of them performs a single task very well. The next big technology trend in 2020 and the years to come would be something more powerful such as AI machines that can do whatever the humans can, but that is still far from reach.

#technology-news #technology-trends #technology #future-technology #artificial-intelligence #artificial intelligence