2021 is the year enterprise (permissioned) blockchain begins its long climb out of the ‘trough of disillusionment’. (See Gartner Hype Cycle for Blockchain Technologies, 2020). The climb will be slower than the recent stellar rise in Bitcoin’s price, but it will move forward nonetheless, surely and steadily.
New machine learning tools and processes are helping the financial services firm to improve its modeling capabilities and drive better business decision-making. AI and machine learning (ML) technologies are helping financial services firm Morgan Stanley use decades of data to supplement human insight with accurate models for fraud detection and prevention, sales and marketing automation, and personalized wealth management, among others
Last year was difficult for individuals, companies, and governments — the pandemic and the resulting economic downturn have impacted all of us. Although 52% of the companies had accelerated their adoption of AI due to the pandemic, nearly 25% of them had fully embraced AI and were reaping better ROI than their peers.
Metals manufacturing companies have been successful in achieving impact at scale from digital and analytics. This was recently highlighted when the World Economic Forum selected four steel players as Industry 4.0 Lighthouses among a total of over 50 organizations across all industries.
The retail environment has experienced far-reaching changes over the past year. With the pandemic fundamentally shifting how customers interact with retailers, digital sales had to evolve at warp speed, and many retailers found themselves in uncharted territory.
Security and risk management leaders are experiencing widespread disruption in identity and access management (IAM) solutions for many reasons, most notably because of the increased drive to customer-facing interactions on digital channels and the sudden and rapid expansion of the remote workforce because of the pandemic. “IAM challenges have become increasingly complex,” says Akif Khan , Senior Director Analyst, Gartner, “and many organizations lack the skills and resources to manage effectively.
Embracing digital-only doesn’t rule anymore. At the doorstep of Industry 4.0 , enterprises want to look beyond just digitization of processes since that’s mostly covered in Industry 3.0 . Today, instant alerts about system failure should be generated in advance and that’s exactly what predictive maintenance is all about.
It can often feel like even the fastest network speeds aren’t enough to run all your devices. While the struggle is more visible in places that share a lot of bandwidth, like office buildings, malls, and cafes, users can also feel that they use a lot of heavy data like live video producers and PC gamers.
After initially taking a massive hit on IoT spending across the globe, Covid-19 is actually offering more opportunities for the industry as it bounces back. The need for remote technology is increasingly apparent as the pandemic continues to rage, with opportunities ranging from the potential tracking of vaccine shipments to hand sanitation station refill alerts.
Technology evolution and the growth of LPWA (low power wide area) services necessitates a different approach to forecasting Internet of Things (IoT) technologies. This is demonstrated by Transforma Insights ’ analysis in its new Hyperconnectivity forecasts.
We evaluated 12 IoT edge vendors, here’s four things to help you choose the right solution Edge is a key enabler and a critically important component in Internet of Things (IoT) deployments today, says Josh Taubenheim, IoT analyst for the US-based IoT test lab, MachNation
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources either on AWS or elsewhere using JDBC drivers.
The advancement of human-machine partnerships requires emotion detection and appropriate responses in context, but it’s a tough problem.
This post is co-written with Shawn Koupal, an Enterprise Analytics IT Architect at Best Western International, Inc. A common ask from Amazon QuickSight administrators is to understand the lineage of a given dashboard (what analysis is it built from, what datasets are used in the analysis, and what data sources do those datasets use).
