enterprise


Digital transformation: How machine learning could help change business

#artificialintelligence

With minimal pre-task human efforts needed, the scalability of unsupervised machine learning is much higher. David Dittman, director of business intelligence and analytics services at Procter & Gamble, explained that the biggest analytics problem he sees today with other large US companies is that "they are becoming enamored by [machine learning and analytics] technology, while not understanding that they have to build the foundation [for it], because it can be hard, expensive and requires vision." Supervised ML requires humans to create sets of training data and validate the results of the training. A similar shift is likely in machine learning, he suggested, as software and service providers begin to offer application programming interfaces to commercial machine learning platforms.


Veritas must reassure APAC customers about private equity ownership

ZDNet

According to Forrester's senior analysts Naveen Chhabra, Veritas customers in Asia-Pacific remained unconcerned about the separation from Symantec since both vendors always had operated separately. Chris Lin, Veritas' senior vice president and Asia-Pacific Japan president, concurred, adding that localisation needs for the region included multi-language support and considerations for local cloud environments, such as data sovereignty regulations. The vendor's Asia-Pacific Japan vice president and head of technology, Andy Ng, added that the software vendor released more products in the past 10 months than it did during its 10-year history under Symantec. Asked if this assessment was on point, Veritas' senior marketing director of software-defined storage Dan O'Farrell said the vendor already had invested significant efforts in machine learning to better predict and manage business storage environments.


[session] Embracing Hybrid Cloud @CloudExpo @IBMSystems #Mobile #DX

@machinelearnbot

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 smart is Artificial Intelligence?

#artificialintelligence

The impacts are contributing by automating repetitive task, creating efficiencies, ubiquitously improving user experience, and creating ways for humans to improve our cognition. From a business perspective, enterprise executives are most optimistic about the potential of AI technologies to increase efficiencies via automated communications and alerts to enable more proactive approaches (70%) business challenges. Additionally, our surveyed execs believe virtual personal assistants and automated data analysts are the AI solutions they see most impacting their businesses. Business execs also see potential for AI managers to improve life for employees.


Tapping Into Data Capital with AI and Machine Learning

#artificialintelligence

Adaptively intelligent apps consume streams of raw data from multiple sources--such as customer experience, enterprise resource planning, supply chain management, and human resources--to develop predictive analytics. "Data is the fuel that drives organizations towards automation," Rich Clayton, vice president of Oracle's Business Analytics Product, recently wrote. There's marketing data, sales data, supply chain data, HR data, and so on--and these functions are highly interdependent. For instance, this is the approach Oracle takes with the Oracle Management Cloud, which leverages machine learning and big data techniques to provide next-gen monitoring, management and analytics cloud services.


Enroute Lab to Exhibit at @CloudExpo Silicon Valley #AI #IoT #M2M #Cloud

#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. 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.


[session] Leveraging AI @CloudExpo #AI #Chatbots #DX #ArtificialIntelligence

#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.


Towards Artificial General Intelligence in Enterprise – Data Science Driven by Statistics Requires New Qualitative Analytics to Model Disruptive Changes

@machinelearnbot

Statistical solutions use inductive rationale to predict outcome based on voluminous historical data. Disruptive changes require deductive and abductive rationale to find solutions on new facts when historical data on such facts does not exists. We propose a comprehensive solution that would enable enterprises to use Artificial General Intelligence (AGI) to discover new relevant subjects, so as to discover and augment existing quantitative analysis with new or previously unknown domain variables. The real-time aspect of tactical and strategic execution requires new analytic methods on qualitative data.Meta Vision Analysis and Bionic Fusion Analysis enable enterprise organizations to transcend this limitation and dynamically discover relevant domain variables, drawing insights for real-time execution by "connecting the dots".


Digital Transformation Asset Management @CloudExpo #DX #Cloud #Analytics

#artificialintelligence

Today's businesses run in the virtual world. From virtual machines to chatbots to Bitcoin, physical has become last century's modus operandi. Dealing with this type of change in business even has its own buzzword – Digital Transformation. From an information technology operations point of view, this has been manifested by organizations increasingly placing applications, virtual servers, storage platforms, networks, managed services and other assets in multiple cloud environments. Managing these virtual assets can be much more challenging than it was with traditional physical assets in your data center. Cost management and control are also vastly different than the physical asset equivalent. Challenges abound around tracking and evaluating cloud investments, managing their costs and increasing their efficiency. Managers need to track cloud spending and usage, compare costs with budgets and obtain actionable insights that help set appropriate governance policies.


[video] #DevOps and #DigitalTransformation @DevOpsSummit @AndiMann #Serverless #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.