Weekly News Digest: 14th - 18th December

Talitha Boitel-Gill our consultant managing the role
Posting date: 12/18/2020 2:36 PM
This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of data and analytics. 

Analytics India Magazine: Top 8 AI-Powered Features Released By Adobe In 2020

Adobe turned 30 years old in 2020, and to celebrate its birthday, launched an array of features and software updates that use AI technologies to support performance improvements and better workflows. In this piece from Analytics India Magazine, they explore a few of the new features:

  • Neural Filters
  • Sky Replacement
  • Discover Panel
  • Refine Edge Selections

It’s incredibly exciting to see how the developers and engineers at Adobe have reimagined filters, explored image manipulation and used cutting-edge algorithms to enhance the range and quality of tools in its Photoshop application.

There’s a lot of great new functions available in Adobe software this year. Driven by the power of artificial intelligence technology, this demonstrates how exciting and limitless opportunities are in development and engineering.

Read the full article here.

insideBIGDATA: Factoring the User Into Supply Chain Data Presentation

In this feature with insideBIGDATA, Jono Marcus, Behavioural Insights Director and Digital Project Owner for AtSource.io, Olam’s sustainability insights platform, at Olam International Ltd., explores how behavioural science can make complex Data meaningful and useful.

One of the key discussion points here was in recognising that Data specialists need to find interesting, unique ways for consumers to experience datasets across different user interactions. It is an exciting challenge that many developers and engineers come across, and can also be applied specifically, in this case, to behavioural science findings.

There is a critical role to be played here. Data Scientists need to ensure that data results are presented as either reassuring or concerning, within the context of the study. This is to ensure the Data experience is respected and has authority and meaning.

Read the full article here.

ZDNet: Cloud providers compute a greener future

This year has been unlike any other. When looking at our environmental responsibilities, in 2020 we have actually seen a record emission drop. The pandemic has driven this news, highlighting a drop of around seven per cent.

Of course, this is great news, but more must be done. The tech industry has a big role to play in supporting the world’s ambition to drastically reduce carbon emissions and hit global climate targets. Last year, Amazon co-founded The Climate Pledge, which aims to achieve net-zero carbon across its businesses by 2040. This pledge has attracted the attention of over 30 signatories, including Microsoft. This move aligns the two biggest cloud computing providers at a time when cloud demand has skyrocketed and will only continue to grow.

Microsoft’s Chief Environmental Officer, Lucas Joppa, explained the significance of the tech community coming together to act on the climate crisis; “No one company or organization can meaningfully address the climate crisis on their own. It will take aggressive approaches, new innovative technologies and strong commitment to collaboration across industries and economic sectors”.

Read more on The Climate Pledge and the tech response here

Tech Republic: Predictive analytics: 3 best practices for implementation of this helpful technology

No matter your field, Predictive Analytics can help your business improve processes and make more money. But one of the main reasons that it isn’t applied across the whole Data & Analytics space is that developing these models takes time and resources, especially with a lack of commercial solutions available and ready to go.

Companies can benefit from using Predictive Analysis in areas such as operations management, customer relationship management and fraud detection too. In order to bring predictive analytics on board, these are the core considerations outlined by Tech Republic:

  • Decide how accurate your predictive analytics need to be• Decide how much risk you can assume
  • Plan for disruption, and continue to refine your predictive analytics models

As organisations come to re-think and upgrade their software and data services, factoring in the power of predictive analytics is a strong steppingstone for the future.

Click here to read more on the uses of Predictive Analytics.

The Data & Analytics market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Related blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out the related posts below.

Weekly News Digest: 14th - 18th June 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. Gov.uk: Five signs of a good data quality culture Particularly post-pandemic, we all want to know that our data is fit for purpose. In this article from the Government Data Quality Hub, they look at five ways to ensure that your data's quality is right for your's and your users’ needs. This includes: Everyone is involvedData quality is a commitment, not a taskYou know what works for your organisationYou know why quality mattersYou are proactive not reactive We know that committing to a good data quality culture is a continual process. This core advice allows us to take a step back and think about how you can understand your unique challenges and involve the right people, so you can prevent bad quality data before it damages your work. See more on this here. Analytics Insight: 5 types of artificial intelligence that will shape 2021 and beyond We really like this article from Analytics Insight that explores the future of technology, and specifically the rise in uses of artificial intelligence (AI). AI is often seen to be disruptive as there is an assumption that robots could take over and jobs are wiped out, but it’s more likely that humans and machines will work together to streamline processes across a range of industries. The different types of AI to keep an eye on include: Customised technology providerChoosy algorithmHuman-machine interactionReciprocating machinesTheory of mind We’re always excited to learn more about new technologies, click here to read more on this. KD Nuggets: Five types of thinking for a high performing data scientist In this piece KD Nuggets look at how the way our approach to problem-solving may be guided by your personal skills or the type of problem at hand. As a Data Scientist, appreciating different approaches can help you more effectively model data in the business world and communicate your results to the decision-makers. Whether this is model thinking, systems thinking, agent-based thinking, behavioural thinking, or computational thinking, taking the time to understand your approach will significantly help the way you complete the function of your role. To read the full article, see here.  TechRepublic: These 220+ courses will help you master tech skills and prep for IT certification exams We know that there is a digital skills gap. According to Boston Consulting Group, there will be tens of millions of job vacancies by 2030 that will be hard to fill because not enough workers have the required skills, many of which are in technology. One of the best ways to upgrade your skillset is to complete extra training and qualifications to ensure you’re always learning more about your market and providing yourself with the best opportunities to achieve your next career step. ITU Online has over 200 courses covering cloud deployment, cybersecurity and more. Of course, this isn’t the only way in which you can level up your skills, but it’s a good place to start! To read more about this, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.    

How Will Embracing Flexible Working Help The Life Science Sector To Grow?

COVID-19 has drastically changed ways of working in the Life Science industry. Overnight, teams moved online, while new research had to be prioritised. Life Sciences were already moving towards more remote working, and the pandemic has only quickened this shift. There is no doubt these changes have fundamentally changed the Life Science sector and how professionals working in this space operate post-pandemic.  However, uncertainty still remains about the viability of remote working for the sector and there is a divide between those able to work remotely and those who need to go into ‘wet labs’. Is remote working a step too far for Life Sciences? Collaboration  2020 saw an increase in collaboration between professionals working across different areas of Life Sciences. Interestingly, organisations who may usually compete came together to share data and work towards a shared goal. Collaboration is essential in Life Sciences, yet for many, remote working reduces spontaneous teamwork and creativity.  New flexible lab spaces may be the future for Life Sciences though. RUNLABS have recently opened their first fully equipped flexible lab space in Paris for scientists and companies working in Life Sciences. This space hopes to builds on the existing collaborative approach in the industry and encourage further cooperative innovation. Efficiency  Many employees noticed a spike in employee efficiency when working remotely. By eliminating commutes and increasing flexibility, employees were able to be more productive with their time. Remote working also allowed organisations to streamline processes and reduce time spent in meetings.  However, insight from McKinsey highlights that research and development leaders estimate productivity has fallen by between 25 and 75 per cent due to remote working. Those in pharma manufacturing have reported lower levels off efficiency, as well as the potential for lower-quality outputs.  Research The pandemic forced remote trails to become a necessity, and since then, they have increased in popularity. While face-to-face research is still preferrable, remote trials can reduce costs and improve efficiencies. Indeed, on-site monitoring accounts for a significant portion of the costs of bringing a new product to market, yet this is no longer necessary in remote trials.   Not only are remote trials more cost-effective, but they can open research to a wider range of patients and can increase the communication between trial participants. Diversity Flexible working can run a risk to diversity and inclusion though. McKinsey also notes that, ‘when faced with a crisis, leaders often revert to relying on the core team of people they already know and trust. This disproportionately affects women and minorities because they are often not part of that group. Differences in perceptions and experiences of inclusion results in individuals or communities being disenfranchised, which can be devastating to careers and create a two-tiered culture.’ We know that 27 per cent of D&I leaders say their organisation have put all or most of their initiatives that embrace diversity and inclusion on hold because of the pandemic. However, remote work unlocks new hire pools and opens up the workplace to a more diverse workforce. Workers are no longer restricted by their geographical location or personal circumstances. Flexible working is an opportunity for Life Science organisations to harness a wider talent pool and increase their diversity. There is no doubt that Life Science is one of the most cutting-edge sectors globally and the pandemic has only cemented this. COVID-19 has shown the potential for remote working in life sciences, and in-person health care professional access may never return to pre-lockdown levels. But, going forward life sciences need to remember remote working is not practical for everyone nor every role. Organisations will need to consider individual wellbeing and role efficiency as they decide their next step.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 


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