manito learning center incorporated

1261 hempstead road
niskayuna, new york 12309

NYS Entity Status
ACTIVE

NYS Filing Date
DECEMBER 13, 2013

NYS DOS ID#
4500911

County
SCHENECTADY

Jurisdiction
NEW YORK

Registered Agent
NONE

NYS Entity Type
DOMESTIC NOT-FOR-PROFIT CORPORATION

Name History
2013 - MANITO LEARNING CENTER INCORPORATED









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  • AROUND THE WEB

  • How to start incorporating machine learning in the enterprise arena
    By Ronald van Loon - Friday Jun 16, 2017

    The world is long past the Industrial Revolution, and now we are experiencing an era of Digital Revolution. Machine learning, artificial intelligence, and big data analysis are the reality of today’s world.I recently had a chance to talk to Ciaran Dynes, Senior Vice President of Products at Talend and Justin Mullen, Managing Director at Datalytyx. Talend is a software integration vendor that provides Big Data solutions to enterprises, and Datalytyx is a leading provider of big data engineering, data analytics, and cloud solutions, enabling faster, more effective, and more profitable...Read More

    Source: ReadWriteWeb
  • Elon University Receives $5 Million for Learning Center
    By webmaster@philanthropynewsdigest.org (Matt Sinclair) - Saturday May 27, 2017

    The gift from Robert and Dilek Koenigsberger will help promote synergies between various academic programs and the resources of Belk Library....

    Source: Philanthropy News Digest (PND)
  • Stonewall Inn Project to Preserve Stories Behind a Gay Rights Monument
    By SARAH MASLIN NIR - Saturday Jun 17, 2017

    A $1 million grant will go toward conserving the oral histories of those who lived through the 1969 riots.

    Source: NYT > Home Page
  • Specters of the Stage Enchant in ‘Ghost Light’
    By BEN BRANTLEY - Monday Jun 19, 2017

    Third Rail Projects turns the Claire Tow Theater at Lincoln Center into a haunted house of theatrical ego.

    Source: NYT > Home Page
  • Food & Wine Magazine Will Leave New York for Alabama
    By STEPHANIE STROM - Friday Jun 23, 2017

    The move reflects a changing business in which traditional food magazines, and a Manhattan address, are less important.

    Source: NYT > Home Page
  • Growbots raises $2.5M for its machine learning-based sales automation platform
    By Frederic Lardinois - Wednesday Jun 21, 2017

     Growbots uses machine learning to provide sales teams with the right leads to kickstart their outbound sales process. The service, which argues that its product can save each member of a sales team a few days of work every month, today announced that it has raised a $2.5 million funding round from Buran VC, Lighter Capital and a number of angel investors. This brings the company’s… Read More

    Source: TechCrunch
  • “It’s Shame On Us If We Blow It”: Highlights From NY Seizes the Momentum
    By Ben Fidler - Wednesday Jun 7, 2017

    Mike Foley, a drug industry veteran and director of the Tri-Institutional Therapeutics Discovery Institute, has a pointed message for the New York life sciences industry: Don’t waste the moment. Changing the course of New York biotech has been a saga that dates back to the 1990s, and as Xconomy has detailed, progress has been made […]

    Source: Xconomy New York
  • How Can Big Pharma Use Chat Bots to Redefine Consumer Engagement?
    Friday Mar 10, 2017

    Chat bots are redefining how consumers engage with brands. However, before Big Pharma can begin leveraging artificial intelligence (AI)-based solutions, we have to change how industrymarketers perceive them, transitioning from “chat bots” to conversational user interfaces (UIs) while learning how existing user experiences can be transformed using this innovativetechnology. 

    Both chat bots and conversational UIs are computer programs designed to mimic human conversation via text or auditory means. Chat bots, however, specificallyutilize AI as a pillar, which can unpredictably alter a user’s path and experience. A conversational UI takes a more linear approach to natural conversation, providing a distinct user paththroughout the interface. It calls for providing copywriters the ability to reinforce a predetermined user flow and combining pre-canned responses with interface elements to ensure the proper userexperience is delivered.

    If you’re asking yourself why we as an industry need to move away from the paradigm of delivering the same tactics via the same channels, know this:We are witnessing an evolution in the way people interact with software, brands and technology. Interactions that were once personal (such as phone calls) have quickly transitioned into texts,messaging and social media. 

    41% of millennials say that they would be “truly satisfied” if they could use messaging or SMS toconnect with companies and organizations where they do business, according to the Center for Generational Kinetics.

    During our research, we recognized three models in which we,as an industry, must initially assess this technology prior to ideating its potential use cases.

    1. The Intelligent Model The most intriguing, yet least likely to work inPharma. This model uses machine learning as its main method of delivering a natural language response that is unpredictable.

    2. The Linear Model A process that provides aclear sense of familiarity by utilizing a pre-defined set of questions and responses. With this approach, the brand can deliver a more curated experience in a controlled environment that ensurescompliance.

    3. The Hybrid Model The ideal method of development for Big Pharma. By leveraging the linear model as its foundation, Machine learning is incorporated to preparefor future advancements within the technology. It offers full control of the experience, making it a more suitable venture for our regulatory teams.

    But how do we usethem? 

    A conversational UI must be focused, fine-tuned and perfectly curated to deliver just the right experience. Providing a more personalized, cross-channel userexperience. With fewer barriers to entry, 24/7 accessibility and complete anonymity. That said, we’ve identified pinnacle moments within the patient journey where conversational UIs can deliverjust that.

    1. Doctor Discussion Guide: Providing patients with a natural experience to help them communicate more effectively with their doctors.

    2.Benefits Verification Support: Simplifying the complexities of the perplexing benefits verification process.

    3. User Registration and Savings Card Distribution: Meetingthe business objectives of Pharma brands to drive user registrations, building CRM opt-ins along with the distribution of a savings card.

    4. Customer Support and ContentDelivery: Offering a more accessible and engaging method of communication and content delivery to mitigate the need for one of the largest cost drivers’ brands experience for“on-med” patients.

    5. Medication and Refill Reminder: Facilitating adherence by initiating a conversation with a user reminding them, much like a friend or lovedone, to take or refill medication. 

    Today we must move quickly to a reality where brands learn how to interact with consumers the way they expect us to, which means a focus onthe apps and technology they are already using on a daily basis. 

    The only obstacles we face are those we place before our brands. The solution is there, waiting for us torecognize that the typical “rules of engagement” are shifting and the rise of the chat bot is upon us — delivering convenience, personalization and support where consumers live andbreathe, face down and immersed within “the internet of things.”

    Source: Media Post: Marketing: Health