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
There can be no doubt that technology trends over the years point to a rapid change in user requirements. The days of relying on a large, clunky desktop PC to provide a portal to the internet and other traditional, desktop-only applications are quickly diminishing. While PC sales continue to plummet, smartphone sales continue to…Continue
Added by Tom Jardine on May 17, 2016 at 11:00pm — No Comments
European communication and technology industry presently observes strategic business activities in its favor. The adoption of Accenture’s IT services by insurance intermediary Towergate is a recent example of enterprises’ action plan for integration of their services. “To ensure we pave the way for growth, we are transforming our entire IT infrastructure to positively change how we run our business and serve our diverse client base,” said Gordon Walters, CIO,…
Added by Kirti Autade on March 15, 2016 at 2:00am — No Comments
Added by James White on January 17, 2016 at 9:30pm — No Comments
Cloud computing has now been adapted on a larger scale than before and most of the organization are taking leverage of shared resources to minimize operational cost and maximize efficiency. With increase in adaption of cloud computing, the threats related to clouds also become a hot issue in 2014. There were some cyber attacks on organizations like Target and Home Depot and…Continue
Added by Vaishnavi Agrawal on October 26, 2015 at 4:30am — No Comments
The cloud, end-user, and data center are all evolving. In the recent past, the manner in which information has been processed and computed has totally changed. Today, with more consumerization and plenty of data centers, and cloud computing, it is important for administrators to adapt to the new demands. Because of the movement towards…Continue
Added by Jack Dowson on October 22, 2015 at 11:26pm — No Comments
This article describes the approach undertaken by data scientists at Axibase to calculate the Cloud Cover using satellite imagery from the Japanese Himawari 8 satellite.
Today, cloud cover is measured using automated weather stations, specifically the ceilometer and the sky imager instruments. The ceilometer is an upward pointed laser that calculates the time required for the laser to reflect from the clouds, determining the height of the cloud base.…Continue
Added by Axibase Corp on October 20, 2015 at 6:21am — No Comments
From all indications, 2015 is well on its way to becoming the year of cloud computing. The feverish pitch of activities at key players on one hand and the data as well as observations of industry pundits affirm this. There are apparently a handful of reason to keep the IT industry leaders awake at night.
For starters, per , 2014 revenues for cloud services grew by 60 percent. The global cloud computing market, per Forrester, is expected to grow to over $191 billion by 2020. IDC…Continue
Added by Naagesh Padmanaban on April 4, 2015 at 4:30pm — No Comments
Digital banking offers unprecedented opportunities both for banks as well as customers. It has provided banks breadth and ease in delivering their products and services to customers. As for customers, it has pushed service options and expectations to a new high. Given the opportunity spectrum, it is no surprise that banks have invested heavily in upgrading their digital preparedness. 2015 promises more investments in digital banking.
A definition of digital banking will be of help…Continue