Monthly Archives: February 2022

In 2022, Businesses Will Lay the Groundwork for to Unlock the Full Power of Data

In this special guest feature, Ankit Patel, SVP of Engineering at Foursquare, offers 4 trends that will help pave the path for businesses to unlock the full potential of data in 2022 which will likely be the year that businesses focus on becoming data-smart and unlocking the full value of data.

AIOps to Emerge as a Mainspring of Autonomy in the Evolving IT Ecosystem

In this contributed article, Saloni Walimbe discusses the AIOps market for 2022. Increasing complexities in technological systems will necessitate the use of AIOps tools to minimize dependency on human intervention in data management. AIOps is serving as a guiding force for companies looking to transition from reliance on third-party specialists and sources to a more self-automated approach to their operations.

LXT Introduces New Executive Survey, The Path to AI Maturity

LXT, an emerging leader in global AI training data, announced the findings of its first annual executive survey, The Path to AI Maturity. The new report highlights that investment in artificial intelligence is strong at mid-to-large US organizations, and that 40% rate themselves at the three highest levels of AI maturity, having already achieved operational to transformative implementations. A key component to success across all organizations is AI training data, in terms of both quality and investment.

Infographic: Increasing Lead Engagement with AI

The infographic in this article from our friends over at GetVoIP summarized how conversational AI can help increase conversations. Conversational AI can keep leads engaged around the clock, disqualify bad leads, and shorten the sales cycle.

Five Things This Tech Leader Wishes Everyone Knew About Data

In this contributed article, Mark Van de Wiel, Vice President of Technology at HVR – a Fivetran company, details five things he wishes everyone knew about data. He also addresses best practices for recognizing its value, demonstrating ROI, bolstering security, focusing on data quality, and utilizing the cloud.

Heard on the Street – 2/24/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Striim Announces Striim Cloud, the Unified Real-time Data Streaming and Integration SaaS

Striim, Inc. announced the general availability of Strim Cloud, a fast way for customers to deliver real-time data and insights to power business intelligence and decision-making to meet the needs of the digital economy. Striim Cloud is a fully-managed software-as-a-service (SaaS) platform for real-time streaming data integration and analytics.

Collecting multiple community viewpoints after a crime

Seeing George Floyd have his breath forcibly taken from him in 2020 left me with a strong urge to act. But what could I do? Inside of IBM, the Black community and allies decided to use data and technology to turn the frustration of #BlackLivesMatter into something that can actually make a difference. I felt compelled to join in.

Through a design thinking workshop, I got enthused about the idea of using AI to gather and process the various viewpoints that occur after a crime in a community. The project took shape and became the Incident Accuracy Reporting System (IARS) which allows witnesses and victims to corroborate evidence after a crime. This allows a more complete picture of a crime to be gathered from the whole community, rather than the one that is usually just captured by a police report.

From that original design thinking workshop through development inside of IBM, I was pleased to see the application released as an open source project just over a year ago, opening it to a much bigger base for development and for potential for use. Working on this project has really opened my eyes up to the potential for AI to make a positive impact in our lives in ways that I could not have imagined.

Use of AI to simplify data capture 

For a system like this to be successful, people need to be able to easily enter information after a crime occurs. That should be in whatever format makes the most sense. IARS is a mobile app, so thinking through the capabilities of a phone, we needed to allow facts to be captured after a crime via text, pictures, video and audio (voice). The use of AI in the form of the Watson Text to Speech service enables video and voice information to be standardized into a text document: the normal format for a police report, and a useful format for further AI analysis.

Use of AI to find difference of perspective 

After an incident occurs, some accounts may converge while others may differ. For IARS, we use AI clustering algorithms to automate comparison of various reports. We arrange topics into clusters that show similarity in viewpoints. We want the AI system to help us find those instances where the perspective differs.  We had started with the k-means clustering algorithm but are switching over to DBSCAN so we don’t have to specify the number of clusters we are looking for. These algorithms highlight which reports are outside of the cluster. The difference can suggest anything from a restricted viewpoint of an incident to intentional bias or a cover-up. The potential here is that the application can scale and quickly identify where there is a different perspective that needs to be further looked at.

Scaling the AI across any cloud  

We have been using Watson Studio to manage our AI models. This makes it easier for us to switch out algorithms while keeping the core application intact and also gives us the opportunity to be able to scale the application in a cloud environment.

Like any open source project, IARS has evolved over time. Originally there were 12 people working on this, covering the frontend development, setup of the backend and the data science and AI needs. The members involved have changed, based on the degree to which they have availability to work on this project.  One key learning for me is the power of diversity: we’ve had team members coming from distant places like the UK and Uruguay, which has really helped me see how approaches to social justice can really differ across the globe.

For more details on the importance and value of using AI for good, visit


This post is part of a series during Black History Month covering the relationship between artificial intelligence and social justice. 


The post Collecting multiple community viewpoints after a crime appeared first on Journey to AI Blog.

How to Build an Industrial Data Ops DataOps Request for Proposal (RFP)

In this special guest feature, Petteri Vainikka, Vice President of Product Marketing at Cognite, outlines how organizations should approach the RFP process to find a DataOps partner. Provided is a list of five items to evaluate in your hunt for a DataOps partner

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare – Part 3

[Sponsored Post] This technology guide, “insideBIGDATA Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps. If your organization is one of the many that is still in the early stages of implementing its big data analytics strategy, you likely have many questions answered with this new guide.