Trends Towards 2022
It’s the last week of the year. The gifts have been opened (well, the ones that aren’t currently still sitting in a dock in Los… Read More »Trends Towards 2022
The Technical Topics section covers deep, specialized knowledge of the technical aspects of data science.
It’s the last week of the year. The gifts have been opened (well, the ones that aren’t currently still sitting in a dock in Los… Read More »Trends Towards 2022
Over the last couple of years, there has been a lot of hype around robotic process automation. This makes a lot of sense if you… Read More »6 Steps to Get the Best Out of Your RPA Implementation
Manufacturing companies have traditionally been slow to react to the advent of digital technologies like intelligent robots, drones, sensor technology,artificial intelligence, nanotechnology & 3d Printing.… Read More »Digital Transformation in Manufacturing
This cutting-edge area of AI focuses on building models that can create original material, including music, images, text, and even entire virtual worlds.
Ever-growing volumes of unstructured data stored in countless document formats significantly complicate data processing and timely access to relevant information for organizations. Without proper optimization of data management workflows, it’s difficult to talk about business growth and scaling. That is why progressive companies opt for intelligent document processing powered by artificial intelligence.
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
A 5G modem is a RF system or a chip deployed as a part of the network infrastructure to help empower 5G devices to connect… Read More »5G Modem Unlock Wireless Access Future
In the panorama of Artificial Intelligence (AI), Natural Language Understanding (NLU) stands as a citadel of computational wizardry. No longer in its nascent stage, NLU… Read More »AI for Natural Language Understanding (NLU)
In today’s fast-paced world, technology is constantly pushing the boundaries of content translation. The question of whether to rely on AI or human translation services… Read More »Human and AI translations: How to skillfully combine them
Deep learning guru, NYU professor, and chief AI scientist at Meta Yann LeCun has been bullish about neural nets for years now. But in March… Read More »Countering the LLM parrot worshippers
One of the most important jobs in computer vision is image annotation. Computer vision essentially aims to give machine eyes — the capacity to perceive and comprehend the world — through various applications.
Gaming, creating CGI movies, building shared worlds, and creating digital twins are exciting in principle, but the complexity of building 3D models usually serves to… Read More »NERFs To Make 3D As Simple As Shooting a Video
Today Marketers play the role of advanced and technical matchmakers as their job is to match their target consumers with the products and solutions that… Read More »Marketing Intelligence & Analytics Platform with Data Visualization Features
While the world is going wild over the potential benefits of generative AI, there’s little attention paid to the data deployed to build and operate… Read More »Here’s How Much Data Gets Used By Generative AI Tools For Each Request
Generative AI is suddenly everywhere. Because of this, the future of AI looks very bright indeed. There are many opportunities for generative AI to impact life… Read More »Ten Productivity Hacks using ChaptGPT Generative AI Prompts
As Analytics becoming more and more pervasive – acting as the sounding board for almost every strategic and operational decision – it is imperative that… Read More »Creating Analytics Tool For A Business User
Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions… Read More »Artificial Intelligence: Making waves in the stock market
Written by Venkata Nori and Kshitij Gopali. Introduction As technology is evolving, most companies in the world are adopting advanced mechanisms for their daily tasks… Read More »Seamless integration of data from unconventional source systems into Business Intelligence using data science techniques
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
In this webinar, we’ll chat with SearchKings, a digital advertising agency that built a self-service data culture on the Google Cloud ecosystem by leveraging powerful… Read More »DSC Webinar Series – Data Democratization – How SearchKings Built a Self-Service Data Culture
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
How exactly do you define Artificial Intelligence(AI)? This looks like a back to basics/ back to school question – but the answer is not that… Read More »How exactly do you define Artificial Intelligence(AI)?
Three inspirational articles from Nikko Ström about Symbolic AI [1], Melanie Mitchell about AI-based Understanding [2] and Yoshua Bengio about the Conscious Prior [3], have… Read More »Approach to AGI: how can a “synthetic being” learn?
With the release of SAS Container Runtime (SCR), organizations can execute models and decisions outside of SAS using standard technologies. Containerized deployments are lightweight to… Read More »DSC Webinar Series – Best Practices for Adopting Containers within your MLOps Process.mp4
When it comes to backup efficiency and copying only the needed data between a full backup and any incremental backups, changed block tracking technology is… Read More »VM backup with Hyper-V Changed Block Tracking (CBT)
As a globally-used system with millions of developers employing it as their primary building environment, Kubernetes is one of the most well-known tools for container management in the world.
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
Data analysts must have a strong grasp of practical data visualization skills to paint a clear picture of complex data for a broader audience. Seeing… Read More »Beyond the numbers: The soft skills that elevate data analysts to the next level
Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders. They… Read More »Difference between modern and traditional data quality
Effective data management is critical to any organization’s success in today’s data-driven world. With the exponential growth of data, businesses need to implement robust strategies… Read More »Mastering data management: Efficient strategies for success
Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions… Read More »Artificial Intelligence: Making waves in the stock market
Introduction In an era where data is often termed the ‘new oil,’ its security holds unparalleled importance for businesses across industries. With the proliferation of… Read More »How to ensure data security when sharing business-critical information
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
As businesses struggle with more data sources and destinations than ever, they strive to bring governance, security, and efficiency to their data ops. To address… Read More »DSC Webinar Series: How to Scale NiFi Deployments to Enable Universal Data Distribution
There are thousands of articles explaining the differences between data scientist and machine learning engineer. Data science gets broken down even further, with data analysts… Read More »The Rise of the Dual Data Scientist / Machine Learning Engineer
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Knowledge management is refactoring the way that organizations work.
Goods-to-Person (G2P) is a warehouse technology that delivers the correct item to the right Operator or workstation at the right time. Amazon has been at… Read More »Amazon Sparrow represents the future of automation and robotics
As an application domain for IoT, smart cities initially showed promise but have struggled over the last decade. However, Smart islands (instead of smart cities) may be good for the success of the Internet of Things.
At first impression, humanoid robots do not have much in common with autonomous cars. But both are autonomous devices. Hence, lessons learned in creating autonomous cars could be applied to developing autonomous robots.
Synthetic data is used more and more to augment real-life datasets. It enriches them and allow black-box systems to correctly classify observations or predict values… Read More »New Book: Synthetic Data – Generation and Applications
This cutting-edge area of AI focuses on building models that can create original material, including music, images, text, and even entire virtual worlds.
In an age where efficiency is king, manufacturing firms are in a constant race to outshine their competition. Imagine if you could boost productivity, slash… Read More »Increase efficiency of manufacturing operations with IoT solutions
Wireless sensors are small devices that are designed to monitor various types of environmental conditions such as temperature, humidity, pressure, and light, among others. These… Read More »From Data to Insights: The Power of Wireless Sensors
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
I’m using the term web3 in a hopeful way with an expansive definition in mind, one that’s not familiar to most people. When I mention web3, it’d be good if you could put aside the associations with cryptocurrency, blockchain, and an endless, speculation-driven hype cycle for a moment.
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
Given how quickly the digital marketing industry changes, keeping up with the most recent trends and technologies can be challenging. Traditional marketing techniques are no… Read More »Machine learning in marketing: 10 use cases and implementation tips
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
Low code development is getting a lot of traction. Low code platform development provides a more accessible (and typically a graphical) interface for developing applications.
If you are employed as a data scientist and have survived (or strived!) in your position for more than a year, chances are you are… Read More »18 Differences Between Good and Great Data Scientists
Key takeaways In an era marked by exponential technological advancements, the convergence of quantum computing and data science is a pivotal point of transformation. The… Read More »The impacts of quantum computing on the future of data science
Quantum computing gained a lot of attention and headlines in 2021 with companies, like ours, making big bets on this paradigm-shifting technology. While quantum computing… Read More »Atom Computing Tech Perspectives: 2022 Quantum Computing Tech Predictions
It’s the last week of the year. The gifts have been opened (well, the ones that aren’t currently still sitting in a dock in Los… Read More »Trends Towards 2022
As Web3 evolves and transforms into a more decentralized and user-centric ecosystem, the role of artificial intelligence or AI cannot be understated. By leveraging its… Read More »Role of AI in Web3: Ensuring seamless content moderation for dating websites
The role of technology in accounting is rapidly changing the face of this field in many ways. From chatbots to actively handling the management accountants, from facing the enhanced regulations and demands from clients to well-management of time-consumed works, day-to-day tasks and processes of accounting the machines can do or streamline will help the professionals speed up their work.
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists… Read More »How to Automate Data Cleaning, in a Nutshell
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
Not long ago, I published an article entitled “The Sound that Data Makes”. The goal was turning data — random noise in this case —… Read More »The music of the Riemann Hypothesis: Sound Generation in Python
In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead… Read More »An Intriguing Job Interview Question for AI/ML Professionals
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
In the fast-paced, ever-evolving world of modern business, harnessing the power of data has become a game-changer, driving informed decisions and establishing a competitive advantage.… Read More »Key features to consider in data extraction tools
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
This cutting-edge area of AI focuses on building models that can create original material, including music, images, text, and even entire virtual worlds.
Not long ago, I published an article entitled “The Sound that Data Makes”. The goal was turning data — random noise in this case —… Read More »The music of the Riemann Hypothesis: Sound Generation in Python
Moving Picture, Audio, and Data Coding by Artificial Intelligence (MPAI), an international unaffiliated not-for-profit organization, develops AI-based Data Coding standards with associated clear licensing frameworks.