Ringstar’s Michael Dasmarinas Shows PH Media What He's Made Of

Wazzup Pilipinas!

Ringstar’s Michael “Gloves on Fire” Dasmarinas, impressed the packed crowd at Kerry Sports at Shangri-La at the Fort, with his speed and strong punches, at an open media workout held recently.

He is set to take on French boxer Karim Guerfi on April 20, 2018, and both are eyeing the IBO world title in the main card of Ringstar’s ‘Roar of Singapore IV - Night of Champions’, to be held at the 10,000-seater Singapore Indoor Stadium.

Dasmarinas who is currently ranked 12th by WBC says, “Suportahan niyo po ako at pagdasal sa laban na ito sa April 20 sa Singapore, at sana po manalo tayo.  Hindi lang po ito para sa pamilya ko, para sa bansa din natin ito.”  (Please support and pray for my fight on April 20 in Singapore, I hope we win.  This is not only for my family, it is also for the country.

Ringstar Boxing, Asia’s fastest growing sports media property has now reached an overwhelming broadcast footprint of over a potential billion viewers across the globe, and is currently gearing up for its April 20 show, ‘The Roar of Singapore IV – ‘Night of Champions’, to be held at the 10,000-seater Singapore Indoor Stadium. 

Tickets are now available at www.sportshub.com.sg/RoarofSG4.  

Ticket prices for VVIP tables at SGD 5,000, with early bird rates at SGD 4,000, up to March 20, 2018.  This includes a 4-course dinner with free-flowing wine and beer, VVIP gift bag which includes Ringstar shirts, corporate branding on the table, half-page ad in the fight program, exclusive VIP entrance and red-carpet access and photo opportunities with top celebrities and world-renowned athletes.

Category 1 Seats are at SGD 48, with early bird rates at SGD 38.  While Stadium Seats are at SGD 38, with early bird rates at SGD 28.  

Promo code ‘RINGSTAR’ will entitle ticket buyers 50% off the rates, over and above the early bird rate, (for tickets only).  

Sponsors and Partners of ‘Night of Champions’ include Roomaif International and Alexandre Christie.

For more information on promo codes and ‘RoarofSG4’, please visitwww.sportshub.com.sg/roarofsg4 


Photo Caption: Ringstar’s Michael Dasmarinas who topbills ‘Roar of Singapore IV - Night of Champions’ at the Singapore Indoor Stadium on April 20, shows off his wares at a packed open workout at Kerry Sports at Shangri-La, BGC.

STEM Expo 2018: Innovations Expo to Provide Scientific Solutions

Wazzup Pilipinas!

The Science, Technology, Engineering and Mathematics Expo (STEM EXPO 2018) is happening this weekend, March 10-11, at the SMX Convention Center Manila

Proudly presented by the Philippine Society of Youth Science Clubs, DOSTv, Felta MultiMedia, SMX Convention Center Manila, and Unilab Foundation, the event is a two-day innovations expo aiming to provide scientific solutions to problems of society and the community. Open to the public!

Co-presented by Orange Segment Print and Design Studio and Technology Application and Promotion Institute (DOST-TAPI), in cooperation with Enchanted Kingdom and John Robert Powers Manila, together with our official backpack partner Hawk, experience ideas, innovation, exhibits, robotics, talks, and film shows for as low as P120!

With our official ticket partner, SM Tickets, buy your tickets online via smtickets.com/events/view/6491 or purchase at any of its outlets nationwide! For inquiries and reservations, please call 470-2222.

This cool event is also brought to us by Kumu, Fennel, IdeaSpace Philippines, LEXI, Philippine Science Centrum, Museo Pambata, Adarna House, WIP PH, SouthRepublik, UP Materials Science Society, and Edukasyon.ph! See and check out their booths for cool, cool freebies and prizes!

Along with our official partner organizations, Association for Computing Machinery - UP Diliman Student Chapter, Inc., UP IECEP, Ateneo Electronics and Computer Engineering Society, Computer Society of the Ateneo ¤, JPCS - FEU Institute of Technology, and official media partners, DZUP 1602 Kasali Ka!, DLSU-D 95.9 Green FM, MAGIS Radio, TOMCAT (Tomasian Media Circle and Talents), UST Tiger Radio, Herotv, NoInk, philstar.com, SparkUp, Wazzup Pilipinas, and FlipScience, we're gonna get the culture of ideation and innovation started among the youth!

Like us on Facebook at facebook.com/psysc.stemex for more updates!

#STEMEX2018 #Ideas2Innovation

Hitachi Vantara Labs Introduces Machine Learning Model Management To Accelerate Model Deployment and Reduce Business Risk

Wazzup Pilipinas!

New Capabilities Monitor, Test, Retrain and Redeploy Predictive Models, Enabling Greater Algorithmic Transparency and Faster Business Outcomes

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd. ,announced last March 6, 2018 additional capabilities for machine learning orchestration to help data scientists monitor, test, retrain and redeploy supervised models in production. An innovation fromHitachi Vantara Labs, collectively known as “machine learning model management,” can use these new tools in a data pipeline built in Pentaho to help improve business outcomes and reduce risk by making it easier to update models in response to continual change. Improved transparency gives people inside organizations better insights and confidence in their algorithms. Hitachi Vantara Labs is making machine learning model management available as a plug-in through the Pentaho Marketplace.

As organizations transform digitally, their algorithms become a key competitive advantage – and potentially a risk. Once a model is in production, it must be monitored, tested and retrained continually in response to changing conditions, then redeployed. Today this work involves considerable manual effort and, consequently, is often done infrequently. When this happens, prediction accuracy will deteriorate and impact the profitability of data-driven businesses.

David Menninger, ‎SVP & Research Director, Ventana Research, said, “According to our research, two-thirds of organizations do not have an automated process to seamlessly update their predictive analytics models. As a result, less than one-quarter of machine learning models are updated daily, approximately one-third are updated weekly and just over half are updated monthly. Out-of-date models can create significant risk to organizations.”

New data science model management improves the process of machine learning deployments in three areas:

Get models into production faster: New machine learning orchestration steps support data and feature engineering. These steps evaluate models and improve their accuracy using real production data before going live. For further model tuning and to avoid overfitting, data operations teams can generalize models against production test data using a choice of cross-validation and holdout evaluation techniques. Algorithm-specific data preparation and cleaning tasks – also referred to as “last mile data prep” – are now automated. Operations teams can adjust model parameters using a simple GUI instead of writing and maintaining code, which frees data scientists to develop new models.

Maximize model accuracy, while in production: Once a model is in production, its accuracy typically degrades as new production data runs through it. To avoid this, a new range of evaluation statistics helps to identify degraded models. Rich visualizations and reports make it easier to analyze model performance and uncover errors. When updates or changes occur, new “challenger” models can be easily A/B-tested against the current “champion” models. Since test results are returned faster the model can be adjusted sooner.

Collaborate and govern model operations at scale:More organizations are demanding visibility into how algorithms make decisions. Lack of transparency often leads to poor collaboration in groups deploying and maintaining models including operations teams, data scientists, data engineers, developers and application architects. These new capabilities from Hitachi Vantara promote collaboration, providing data lineage of model steps and visibility of data sources and features that feed the model. This greater transparency allows data and data pipelines to be easily shared, standardized and reused across teams allowing new machine learning applications to be built faster. Benefiting from an enterprise-grade platform, the machine learning model steps are embedded into data pipelines and can run large data volumes in a highly available and secure environment.

“Machine learning and artificial intelligence (AI) are optimizing everything from customer interactions to enterprise operations. As these applications evolve, data scientist and IT operation teams will need to move newly trained models into production faster than ever before, which can jeopardize model accuracy, collaboration and governance,” said John Magee, VP, product marketing, Hitachi Vantara. “Hitachi Vantara Labs’ machine learning model management provides improved algorithmic transparency and automation so application teams can focus their efforts on innovating rapidly without risking model deterioration.”