Who would have thought 2021 would be easier than pandemic year 2020?
2020 meant work-from-home night hubs, workforce reorganization, the move to the cloud, and new channels for customer service. Additionally, organizations have had to strike an accelerator on digital transformation projects that they had previously planned to implement over many years.
Vaccines that reached the masses in 2021 paved the way for organizations to start talking about the “new normal” including some returning to the office. However, the COVID variables reminded everyone that the world is still unpredictable.
For data and analytics professionals, 2020 has been a challenging year. What do you do when your historical data is not a good indicator of what will happen in the future? The pandemic has changed everything from mobility patterns to consumer behavior to the technologies needed to do your job. This was followed by a year of work on the implications of those changes and improving processes, techniques, and ideas.
Understanding changing patterns has made data and analytics innovations among the most important practices for the organization in 2021 and moving forward into 2022.
From automation to the supply chain to responsible/ethical AI, companies have made progress in their efforts through 2021, but there is more work to be done. Perhaps that is why data innovation professionals continue to be in demand. Here’s a look at some of the 2021 topics in data innovation.
How to Choose the Right Robotic Process Automation (RPA) / Intelligent Automation Platform for You
The latest Omdia report enables companies to make informed decisions about robotic process automation and smart automation procurement.
Robotic Process Automation (RPA) Processes Heat Up Amid Faster Digital Transformation Batch
Automation is a key component of today’s successful digital transformations, and many large technology vendors are adding this potential through acquisitions of RPA vendors. TEPCO and Blue Prism combine, for example.
How IT organizations use automation
IT organizations already have a lot of automation. Here’s how they upgrade the existing automation and fire up the new tracks.
Workforce for data innovation
Data and Analytics Payroll Heating in a Recovery Economy
After a year of uncertainty, the job market for data scientists and analytics professionals is starting to heat up again.
Data engineers are in high demand, earning high salaries
Get ready to pay six figures for your new data engineer. Burtch Works’ first salary survey reveals salaries and trends affecting data infrastructure experts.
The shortage of IT skills is widening and deepening
It’s easy to spot which IT sectors suffer from a significant shortage of skilled talent: all of them.
CIO Introduction to Metaverse
Metaverse has arrived. Here’s what CIOs need to know about it — from business use cases, to risks, to vendor offerings from companies like Microsoft, Nvidia, and Facebook.
AIOps: a building block for a createable organization
The inevitable change paves the way for resilient organizations – from information technology to the operations and business itself.
6 Best Practices for Implementing NLP
I have spent most of my career applying machine learning and natural language processing to solve problems for users and businesses. Here are some tips I recommend.
Data Fabrics: What CIOs Need to Know
What is the data texture, and does every organization need it? Here’s a look at this emerging technology and why it’s important.
Why are companies training AI for local markets
Machine learning models are often trained using data in the United States. AI localization is an attempt to create data sets to train models for many other markets in the world.
Ethics and the environment
3 Components CIOs Need to Create an Ethical AI Framework
CIOs should not wait for an ethical AI framework to be mandatory. Whether they are buying or building technology, they need processes in place to embed ethics in their AI systems.
Facebook shuts down facial recognition
Facebook will shut down its facial recognition system and remove more than a billion people from individual facial recognition templates, citing growing concerns about the use of the technology as a whole. Privacy advocates welcomed the news.
A more holistic approach to ethical AI startup models for ex-Google employees
Backed by large organizations, the ethical AI startup DAIR promises to focus on AI directed by and at the service of the many rather than being controlled only by a few tech giants. How do its goals align with your organization’s AI ethics program?
9 ways to reduce the environmental impact of data
IT leaders can reduce the environmental impact of their data by considering a set of data sustainability principles.
How and why companies should engage with ethical AI
Artificial intelligence is becoming more and more popular in organizations, but ensuring ethical and responsible AI is not always a priority. Here’s how organizations can make sure of that.
Common Mistakes Companies Make in AI Ethics
More organizations are embracing the concept of responsible AI, but faulty assumptions can hinder success.
Technical vendors target ESG reporting for enterprises
Environmental, social and management reporting is becoming increasingly important. Two major tech vendors recently announced new ESG solutions.
The CIO’s role in maintaining a strong supply chain
As the pandemic has demonstrated, a strong supply chain is essential to immediate and long-term business health. CIOs are ideally positioned to play an essential role.
Seaports and backlog supply chain seek digital response
Can data and software platforms help ease the burden on the logistical supply chain as cargo ships wait in ports?
Data analytics can fix the supply chain. Recently.
Many factors have contributed to today’s supply chain crisis. Investing in analytics and technology will help individual companies survive, but the overall crisis will take longer to resolve itself.