Implementing Meter Data Management (MDM) solution increases accuracy of billing

Blockchain, popularly known for being the technology behind cryptocurrencies such as Bitcoin and Ethereum, has gained significant popularity over the last couple of years. Today, however, its value in other applications may be greater than the initial application which popularized the technology.

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 ecosystem, sales as a function remains largely people-centric.

What is driving IoT adoption in enterprises is a need for ready access to operational data along with the ability to instantly respond to operational events, thereby achieving a level of operational intelligence that isRead more

Today’s online adversaries possess unprecedented capabilities along with the financial backing, intelligence, and resources to conduct extremely sophisticated attacks. DOWNLOADRead more

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.

Kirill Tatarinov, formerly the CEO of Citrix Systems and executive vice president at Microsoft Business Solutions, visited Marlabs New Jersey on Friday, May 18. Kirill is a long-time colleague of Satya Nadella and a direct report of Bill Gates.

Analytics and Intelligence play a key role in the overall IoT system where collected data is turned into information and thus augmenting business decisions with the actionable insights. Data collected from IoT devices can help enterprises reduce maintenance costs, avoid equipment failure, improve business operations, and do targeted marketing. Synchronizing enterprise IoT ecosystem with core engines, such as Artificial Intelligence, Machine Learning, Predictive Analytics, and Digital Counterparts will be the keys to unlock the potential of IoT at enterprise level.

Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide accurate business insights.