Tag: analytics

Feed: IBM Big Data & Analytics Hub - All Content; Author: manish-bhide; IBM Watson OpenScale helps organizations detect and correct AI model bias and drift, explain AI outcomes, monitor model accuracy, analyze payloads, and more. There are algorithms available in open source that provide some of these capabilities. Some of these open source algorithms have originated from IBM such as AI Fairness 360 (AIF360) and AI Explainability 360 (AIX360). A question that often gets asked is “What are the advantages of using OpenScale instead of the algorithms available in open source?”While we contribute to open source projects, we also adopt ... Read More

Feed: Matillion. Author: Julie Polito; We’re excited to announce that the Facebook connector is now live in Matillion Data Loader!  Matillion Data Loader lets you effortlessly load data into Amazon Redshift, Google BigQuery, or Snowflake, at no cost and with no coding required. Many of you have been excited about the prospect of loading data from Facebook into your cloud data warehouse with just a few clicks. The Facebook connector button is now fully operational and ready for you to start loading.  Gain faster insight into Facebook ad performance With this latest adaptor, you can now load data from:  Facebook ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Anonymous; ... Read More

Feed: Actian. Author: Pradeep Bhanot. There are times when financial markets trend up. There are times that markets trend down.  And then there are times that the markets go crazy and the only thing predictable is volatility. When markets encounter these volatile periods, financial services companies become highly reliant on data analytics to determine where the real market forces are coming from and determine how best to react. There are five key analytics capabilities that financial services companies need to perform effectively in a volatile market environment.Connected Data The more data you have available to analyze, the more accuracy you ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. At Neo4j, we’ve always been user-driven, and we know that many of you are dealing with increasingly complex questions and uncertain situations. One of our biggest user communities are developers and data scientists working for businesses that use advanced analytics and data science to improve predictions and drive better decision making. Because relationships are so predictive of behavior, we heard your collective call to simplify the methods of incorporating connected data into your workflows with robust, enterprise-grade features and scale. We appreciate your candid stories and collaboration, and we’ve used this to ... Read More

Feed: Actian. Author: Pradeep Bhanot. Healthcare is a data-driven industry with data analytics needs that make “big data” seem tiny.  For healthcare companies to operate efficiently, they need a high-power data engine to crunch the numbers, analyze the data, and get it into the hands of decision-makers quickly.  The healthcare industry is the epitome of business agility, and data analytics is what makes that possible. Here are four examples of how healthcare analytics can help healthcare companies improve operational efficiency.Diagnosis and Patient Care If a patient walks into a clinic with a fever, dry cough, and respiratory symptoms, do they ... Read More

Feed: CronJ. Author: Anurag Jaiswal; In an era where technological advancements are beyond to a level where the feelings and emotions of the users can be patterned and coded. Building any real-time application is the need of today’s industry. Nodejs Socket equips us with the potential to implement real-time analytics,  binary streaming instant messaging and data collaboration. The first question arises before using the socket implementation in any language is what is a socket and what is the purpose to use it. Nodejs Socket SetupWhat is Socket?A socket is just the way or method for achieving the inter-process communication (IPC). It is ... Read More

Feed: Redis Labs. Author: Pieter Cailliau. Redis is a noSQL database that enables users to store a variety of data in a variety of data structures. We saw a need for our customers to create highly connected data and derive insight by using graph technology. Originally released in 2018, RedisGraph is the result of that effort. RedisGraph is based on a unique approach and architecture that translates the Cypher query language to matrix operations executed over a GraphBLAS-based engine. By using sparse matrices to represent graphs and the power of GraphBLAS to process them, RedisGraph delivers a fast and efficient ... Read More

Feed: Matillion. Author: Julie Polito; Enterprises are generating large volumes of data that originate from a variety of source systems. In some cases, businesses are drawing from over 400 different data sources, creating a burdensome overhead of data consolidation, storage, and preparation. While some organizations choose on-premises databases or data warehouse appliances, many modern businesses are opting for cloud solutions. Where a cloud data warehouse was once sufficient, more and more enterprises are looking for even greater storage capabilities and more flexibility of data formats, often provided by a data lake.  Microsoft Azure Synapse: An all-encompassing data warehousing platform Microsoft ... Read More

Feed: Big Data Made Simple. Author: Megan Ray Nichols. Water treatment is highly resource-intensive and typically relies on equipment that can be expensive or difficult to maintain due to the harsh conditions in water treatment plants. As a result, any opportunity to improve maintenance strategies or cut back on resource use can provide significant advantages.At the same time, the rise of Industry 4.0 has enabled data collection at higher speeds and greater volumes than ever before. This is also known as “big data.” There is a wide range of applications for these massive data sets — like the ability to ... Read More