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As programming students and data science enthusiasts, it's interesting to know what is going on in the world of chips and the changes we are witnessing. In this…Continue
Added by Michael Kevin Spencer on September 8, 2021 at 9:00am — No Comments
In the environment of Industry 4.0, the role of PLM is expanding. The interplay between PLM and Industry 4.0 technologies - like the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Machine Learning, AR/VR, Model-Based Enterprise (MBE), and 3D Printers - is on the rise. But Industry 4.0 is unlike any previous industrial revolution.…Continue
Added by Vinaksh on August 30, 2021 at 1:30am — No Comments
Dataproc is a low-cost, Google Cloud Platform integrated, easy to use managed Spark and Hadoop service that can be leveraged for batch processing, streaming, and machine learning use cases.
BigQuery is an enterprise grade…Continue
Added by Dash on July 1, 2021 at 9:00am — No Comments
Cognitive cloud computing are self-learning systems that imitates the human brain with the help of machine learning. It is often mentioned as the third age of computing that works by utilizing big data analytics and deep learning algorithms.
Factors Propelling Market Growth…Continue
Added by Abhishek Peter on June 7, 2021 at 9:09pm — No Comments
The field of information technology loves to prove that the only constant is change. What intensifies the truth of this axiom is that we are living in the greatest period of technological change that humans have experienced so far. Any one of the several megatrends that are occurring simultaneously could be viewed…Continue
Added by Jarrod J.S. Siket on April 19, 2021 at 12:00pm — No Comments
Out of the many advancements and tools, the evolution of technology has empowered the world with; cloud computing would easily fare somewhere at the top of the list. Why is that, you ask; well, folks, for starters, embracing cloud computing leads to an immediate reduction in costs for the company. And, since one doesn’t have to worry about setting up…Continue
Cloud has been the most significant technology that has enabled the growth of various businesses of all sizes. It offers numerous benefits without paying any additional cost or making new investments in hardware and infrastructure. Companies today generate vast volumes of data and to drive insights out of this Data, they need to inevitably leverage data analytics. Data analytics helps in driving business growth by enhancing their services and gaining a competitive edge. Larger companies can…Continue
Added by Rishabh Sinha on October 13, 2020 at 7:00pm — No Comments
Cloud computing has become ubiquitous in today’s fast-paced business environment. When you combine this dynamic technology with DevOps culture, your business transforms in real-time. With benefits like on-demand scalability, quicker run times, consistent codes, and high-performing apps, this game-changing combination can empower your business to become more agile, responsive and swift.…Continue
Added by Ryan Williamson on September 18, 2020 at 3:30am — No Comments
AI-based technologies reached a new level of adoption in 2019 as businesses learned more about what exactly AI could do for them. 2020 promises to be even more exciting, with AI systems continuing to mature and companies extending usage and applications to address highly specialized needs. In the year ahead, organizations will be empowered to allocate resources even more wisely while achieving greater efficiency.
Here are my top predictions for AI in…Continue
Added by Ji Li on January 10, 2020 at 3:42pm — No Comments
Companies are ramping up their adopting of cloud-based Software-as-a-Service applications. Public cloud spending is expected to reach over $206 billion in 2019.…Continue
Added by Evan Morris on March 4, 2019 at 9:00pm — No Comments
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…Continue
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …Continue
Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments
Sales Forecasting: Science or Instinct?
Recently, we had talked about marketing automation, a digital transformation in the field that involved both artificial intelligence and machine learning. Even Natural Language Processing (NLP) has come a long way, enough to change the content marketing game. But while marketing has shifted to a digital…Continue
Added by Jay Nair on June 5, 2018 at 5:30pm — No Comments
Technology is known to shift landscapes, even change the game. We saw that when the internet exploded in scale and popularity, as computers became smarter, and the world goes through the digital transformation. An easy example is in traditional marketing, which now borders on the irrelevant, unable to hold a candle to its more modern counterparts.
Added by Jay Nair on May 18, 2018 at 4:30pm — No Comments
I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.
Long version of the title:
"Deep Learning at Extreme Scale (in the Cloud) with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."
As always, I want to share the slide deck. The talk was…Continue
Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it.
R shiny app is an interactive web interface. R shiny app has two components user interface object (UI.R) and server function (Server .R). The two components are passed as arguments to the shiny app function that creates a shiny app object. For more info on how to build Shiny…Continue
Every organization embraces analytics to gather, analyze and interpret data to make strategic business decisions at some point in time. As technology evolves and the amount of data grows exponentially, the need to leverage scalable, cost-effective infrastructure is becoming imperative. With the growing adoption of big data and cloud computing, the use of…
Added by Ashish Sukhadeve on August 6, 2017 at 7:30am — No Comments
Added by Pradeep Menon on August 1, 2017 at 5:00am — No Comments
1.Introduction to Big data and Cloud Computing
Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over a network (typically the Internet). It’s a virtualization framework.
It is like resource on demand whether it be storage, computing etc. Cloud follows pay per usage model. You need to pay the amount of resource you use.
This computing service by cloud charges…Continue
Added by Shreya Gupta on July 30, 2017 at 8:00pm — No Comments