Survey Results Identifying the Benefits and Challenges of RPA
Robocorp, a top provider of Gen2 robotic process automation (RPA), announced the results of their State of RPA survey, which was designed to understand the challenges users face with current RPA solutions. The results will help usher in the next generation of enterprise automation – Gen2 RPA.
Featured Stories
How is IoT Changing the Future of Cruising?
In this special guest feature, Ian Richardson, CEO & Co-Founder, theICEway, discusses how as the world continues to open for travel, cruise industry leaders are looking to leverage the next wave of travel technology to improve the passenger experience.
More Than You Know: The Enterprise Worth of Natural Language Generation
In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.
“Above the Trend Line” – Your Industry Rumor Central for 6/23/2022
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Featured Resource
Sponsored by: ProfiseeWhy CRM and Data Warehouses Fail with Customer 360
This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
Industry Perspectives
How to Overcome Patient Obstacles with Conversational Intelligence
In this special guest feature, Amy Brown, Founder and CEO of Authenticx, discusses speech analytics in healthcare. Organizations must listen and learn from patients’ voices to gather insights, customize their approach and facilitate change and growth.
Artificial Intelligence & Data Analytics in the Last Mile Logistics
In this special guest feature, Anar Mammadov, Founder of Senpex, highlights how delivery logistics companies have powerful artificial intelligence, data analysis tools at their disposal, and part of the innovation in this field has been ensuring that clients can access this data. An analytic dashboard allows clients to understand what is happening with their delivery orders and ensure that their precious business is in the right hands.
Featured from insideHPC
- Cerebras Claims Record for Largest AI Models Trained on a Single DeviceSUNNYVALE, Calif., June 22, 2022 — AI computing company Cerebras Systems today announced that a single Cerebras CS-2 system is able to train models with up to 20 billion parameters on – something not possible on any other single device, according to the company. By enabling a single CS-2 to train these models, Cerebras said […]
News from insideHPC
- Women in HPC to Host ISC 2022 Re-cap Webinar July 12
- TSMC Japan 3DIC R&D Center Completes Clean Room Construction in AIST Tsukuba Center
- Argonne to Host DeepHyper Training Session July 15
- Scalable Inferencing for Autonomous Trucking
- AMD Appoints Mathew Hein Chief Strategy Officer
- Rockport Networks Taps Phil Harris as CEO
- Cerebras Claims Record for Largest AI Models Trained on a Single Device
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q2 2022
This special technology guide from Dell Technologies and AMD will take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency. The energy industry has always faced large price swings as a result of changes in the global economy. But today, this entire sector is facing an unprecedented level of disruption. Industry analysts say it is in the throes of a dramatic upheaval that is requiring companies in this industry to reinvent themselves.
Big Data Industry Predictions for 2022
Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an
The Amazing Applications of Graph Neural Networks
In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.
Infographic: The Rise of No-Code Development Platforms
Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.
What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics
In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.
