Growing Technology During the Pandemic
In 2020 more than 50% of companies adopted artificial intelligence (AI) in at least one business unit or function. As we witness the emergence of new AI trends and tools, more value is generated in revenue and customer loyalty. Tech Target brought this interesting information to our attention in their article, “How enterprises can establish…
Read MoreData Insights in a Digital World
Data is the asset that businesses are gathering critical insights on to improve business performance. But who will glean insights? Who will process all the collated raw data? Everything is done either by a data analyst or a data scientist. While data analysts and data scientists both work with data, the main difference lies in what they do with…
Read MoreKeeping up with Progress
The speed at which technology is growing is 2x every 18 months when computing is measured. Over 89% of big data has been produced within the last 2 years. Let that sink in. This interesting topic came to us from datanami in their article, “What’s Holding Up Progress in Machine Learning and AI? It’s the…
Read MoreCoordinating Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data visibility means knowing…
Read MoreMoving Forward with Digital Tranformation
True digital transformation spans people, processes and technology. There are key roles that data, analytics and innovation leaders play in empowering their organization for better business outcomes. This interesting information came to us from Consultancy.uk in their article, “What the future holds for cloud and digital transformation.” The future of digital transformation consists of some crucial…
Read MoreMonitoring Models
A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to go over and learn from those data. The life-cycle management of machine learning models is more complex than software. Changing assumptions…
Read MoreCybersecurity Technology
Many organizations are not prepared for the risks that come with technology. In todays world, cybersecurity is as important as ever. With ever-growing threats to businesses, having a robust security solution is absolutely essential. This important information came to us from Digital Insurance in their article, “How to go beyond threat detection to prevent cybersecurity…
Read MoreEmerging Technologies in the Food Industry
Emerging technologies are being applied in every business and industry, so it shouldn’t be a surprise to hear of its application in the dairy industry. This interesting news came to us from The Cattle Site in their article, “Nestlé explores emerging technologies for animal-free dairy proteins.” Nestlé recently announced that it is exploring emerging technologies for…
Read MoreCybersecurity and Cloud Computing
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has grown. Cyberattacks can harm companies in terms of both financial status and organizational reputation. Analytics Insight brought this interesting information to our attention in their article, “What Are The Challenges Faced By Data Science Professionals?“ Organizations should utilize advanced artificial intelligence (AI)-powered…
Read MoreAppreciating Data Quality
Organizations are learning that they can reap great benefits from data, but do they understand how important it is to trust the data that drives their decision making? Tech Target brought this interesting information to us in their article, “Why businesses should know the importance of data quality.“ At a fundamental level, data trust is…
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