enterprise


Businesses Turn to AI, Digital Platforms for Competitive Edge

#artificialintelligence

Gartner identified three technology trends it predicts will dominate the enterprise space in the coming years. The trends, or "megatrends," outlined in the recently released Hype Cycle for Emerging Technologies, 2017 (fee charged), will gain prominence and develop over the coming years. In this latest cycle, the company sees digital technologies entering the "Peak of Inflated Expectations Phase," and predicts the use of these technologies in the enterprises is set to explode. Organizations offering IoT/connected technologies reported a 50 percent increase in customer satisfaction, while 44 percent of organizations offering IoT/connected technologies reported satisfaction remaining the same.


How Artificial Intelligence Will Transform Tomorrow's Digital Supply Chain

#artificialintelligence

In the supply chain, AI can analyze large data sets and recommend customer service and operations improvements while supporting better working capital management. As corporate systems become more interconnected, providing access to a wider breadth of supply chain data, the opportunity to leverage AI increases. Let's look at the potential benefits of using AI to link transportation data with order data: A logistics enterprise ensures the delivery of a product within two days. This information supplies customer service and supply chain professionals with proactive alerts of potential fulfillment challenges.


Three technology megatrends you need to know now

#artificialintelligence

"In addition to the potential impact on businesses, these trends provide a significant opportunity for enterprise architecture leaders to help senior business and IT leaders respond to digital business opportunities and threats by creating signature-ready actionable and diagnostic deliverables that guide investment decisions." The Hype Cycle for Emerging Technologies report is the longest-running annual Gartner Hype Cycle, providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should consider in developing emerging-technology portfolios. Gartner say you need to consider the following technologies: Deep Learning, Deep Reinforcement Learning, Artificial General Intelligence, Autonomous Vehicles, Cognitive Computing, Commercial UAVs (Drones), Conversational User Interfaces, Enterprise Taxonomy and Ontology Management, Machine Learning, Smart Dust, Smart Robots and Smart Workspace. They have a long list of technologies to consider under immersive experiences, including: 4D Printing, Augmented Reality (AR), Computer-Brain Interface, Connected Home, Human Augmentation, Nanotube Electronics, Virtual Reality (VR) and Volumetric Displays.


How a new wave of machine learning will impact today's enterprise 7wData

#artificialintelligence

Advances in deep learning and other Machine Learning algorithms are currently causing a tectonic shift in the technology landscape. Betting big on an AI future, cloud providers are investing resources to simplify and promote machine learning to win new cloud customers. First, advances in computing technology (GPU chips and cloud computing, in particular) are enabling engineers to solve problems in ways that weren't possible before. For example, chipmaker NVIDIA has been ramping up production of GPU processors designed specifically to accelerate machine learning, and cloud providers like Microsoft and Google have been using them in their machine learning services.


Top Uses For Machine Learning In Life Sciences

#artificialintelligence

Bio-pharmaceutical brands are critical intellectual property for life sciences companies, and marketing intelligence and insights are powerful ways to improve brand recognition and marketing ROI. There are a number of potential use cases for machine learning in life sciences. Smart business process enabled by machine learning, automation, and artificial intelligence can help achieve intelligent enterprise goals for the life science industry, particularly as the IoT technology adoption rate improves. SAP machine learning services in its SAP Leonardo IoT platform help life science companies automate and prioritize routine decision making processes in order to adapt to rapidly changing business environments.


Here's why India is likely to lose the AI race FactorDaily

#artificialintelligence

In sharp contrast, Indian startups have collectively raised less than $100 million from (2014-2017YTD), according to data from startup analytics firm Tracxn -- that's smaller than Andrew Ng's recently launched $150 million VC fund. Artificial intelligence is an especially thorny space to be in as Indian startups lack access to large data sets. Very few VC funds in India will fund business models with a five-to-ten year timeline where data collection and analysis comes first. In 2006, his company – Tachyon Techologies released the first machine learning based Indian language input system called Quillpad.


[slides] #FinTech for Success @CloudExpo @CloudRaxak #Blockchain #AI #ML #DL #DX

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


How Machine Learning is Revolutionizing Digital Enterprises

#artificialintelligence

Both types of devices provide an interactive experience for the users due to Natural Language Processing technology. ML technology is able to develop insights that are beyond human capabilities based on the patterns it derives from Big Data. The immense volume of support tickets makes the task lengthy and time-consuming. If automated via ML, the HR can let the machine predict candidate suitability by providing it with a job description and the candidate's CV.


ITSM Analytics @CloudExpo @Zoho #BigData #IoT #ITSM #BI #AI #Analytics

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


Monitoring APIs @DevOpsSummit @Catchpoint #API #DevOps #AI #WebPerf

#artificialintelligence

DevOps at Cloud Expo taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. The upcoming 21st International @CloudExpo @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.