BigData News Saturday, March 3 New products, Improving customer experiences, Big data & more…

BigData News TLDR / Table of Contents

  • Seventy-five percent of enterprises using AI and machine learning enhance customer satisfaction by more than 10% and three in four organizations implementing AI and machine learning increase sales of new products and services by more than 10%, according to Capgemini.
  • Organizations are using AI for a number of strategic purposes including supporting new products, generating leads, creating highly target marketing activities, and identifying lookalike high-value customers.
  • Optimize the marketing mix – – The Capgemini report also identified key technologies that fall under the AI umbrella such as language learning, measurement of human characteristics, analysis of image and video content and digital assistants.
  • HGTV just launched a digital assistant on Facebook Messenger to inspire its fans with trending design and home ideas and it gave it a name to personalize the interactions.
  • Hazel was the name chosen for the digital assistants voice to guide Messengers 1.3 billion users to HGTV content like tips, trends and DIY projects.

Tags: new products, Improving customer experiences, target marketing activities, new product development, specific customer segments

  • Education institutions study the patterns of student behavior and design courses using this data.
  • Given that more than a million analysts will be required in 2018, it is no surprise that many software professionals are making the leap into data analysis.
  • Fortunately, several courses are available for big data and hadoop training.
  • Making its mark as one of the highest paid jobs in the USA in 2016, the demand for data professionals has exploded in the present times.
  • Technical skills like proficiency in Apache Kafka and SQL (among other skills) are a big plus when trying to break into the field of data analysis.

Tags: big data, Big Data engineers, waste management systems, data analysis, Apache Hadoop

  • Artificial intelligence and social media are gradually becoming household names in modern day marketing.
  • Marketers who are always in tune with the change of marketing trends and technologies are trying hard to acquire and integrate the knowledge of AI and social media into their marketing skills.
  • How Artificial Intelligence And Social Media Are Impacting Modern Day Marketing.
  • Six transformative Artificial Intelligence and social media integration that is useful to modern marketing.
  • Here are some of the ways that Artificial Intelligence is transforming social media marketing.

Tags: social media, artificial intelligence, social media marketing, social media platforms,

  • VMware is pursuing a new direction as part of its IoT strategy, using hyperconverged infrastructure to offer complete, end-to-end solutions for edge computing.
  • Today, VMware unveils hyperconverged edge computing solutions that are cost-effective and will enable customers to build and scale secure, use case-specific IoT solutions that work for them from the edge all the way to the cloud, relying on proven, tested software they already use and trust.
  • The new edge compute packages will feature a suite of server hardware for infrastructure and gateway needs, courtesy of Dell EMC, which will include VMware Pulse IoT Center for monitoring IoT devices.
  • The former has partnered with VMware and Dell EMC to offer connected cameras and 4G routers that will run on Pulse IoT Center, while the latter will offer a complete solution for monitoring factory floor equipment in manufacturing.
  • While VMware has only announced solutions for two use-cases, the company has indicated it will be developing new partnerships across a wide range of IoT applications to develop further products.

Tags: Pulse IoT Center, VMware Pulse IoT, complete IoT packages, case-specific IoT solutions, IoT Mimi Spier

  • Every single Machine Learning course on the internet, ranked by yourreviews – A year and a half ago, I dropped out of one of the best computer science programs in Canada.
  • Preference is given to courses that cover more without skimping on detail.Usage of common data science and machine learning tools.
  • If you are interested in deep learning specifically, weve got you covered with the following article: – My top three recommendations from that list would be: – Creative Applications of Deep Learning with TensorFlow by KadenzeNeural Networks for Machine Learning by the University of Toronto (taught by Geoffrey Hinton) via…
  • Ng explains his language choice: – In the past, Ive tried to teach machine learning using a large variety of different programming languages including C++, Java, Python, NumPy, and also Octave And what Ive seen after having taught machine learning for almost a decade is that you learn much faster…
  • Highly recommended.The only problem I see with this course if that it sets the expectation bar very high for other courses.The preview video for Andrew Ngs Machine Learning class.A new Ivy League introduction with a brilliant professorMachine Learning (Columbia University via edX)Columbia Universitys Machine Learning is a relatively new offering…

Tags: weighted average rating, machine learning, , ,

Top Big Data Courses

The Ultimate Hands-On Hadoop - Tame your Big Data! (31,889 students enrolled)

By Sundog Education by Frank Kane
  • Design distributed systems that manage "big data" using Hadoop and related technologies.
  • Use HDFS and MapReduce for storing and analyzing data at scale.
  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  • Analyze relational data using Hive and MySQL
  • Analyze non-relational data using HBase, Cassandra, and MongoDB
  • Query data interactively with Drill, Phoenix, and Presto
  • Choose an appropriate data storage technology for your application
  • Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm

Learn more.

Taming Big Data with MapReduce and Hadoop - Hands On! (13,894 students enrolled)

By Sundog Education by Frank Kane
  • Understand how MapReduce can be used to analyze big data sets
  • Write your own MapReduce jobs using Python and MRJob
  • Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
  • Chain MapReduce jobs together to analyze more complex problems
  • Analyze social network data using MapReduce
  • Analyze movie ratings data using MapReduce and produce movie recommendations with it.
  • Understand other Hadoop-based technologies, including Hive, Pig, and Spark
  • Understand what Hadoop is for, and how it works

Learn more.

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