#nteractive events

[roldyang]

Creating Dynamic AI Interactive Events in the Philippines

AI interactive events in the Philippines are gaining momentum as organizers seek innovative ways to create immersive experiences. From interactive displays to live streaming and mobile optimization, technology is transforming how we engage in events. This article explores the key aspects of AI events and how they revolutionize the event landscape.

The Impact of Digital Transformation on Interactive Events

Digital transformation has become the driving force behind the evolution of interactive events. As event organizers and attendees adapt to new technologies, AI interactive events in the Philippines are becoming more dynamic and engaging. The use of immersive events, interactive displays, and other AI-powered elements redefines the attendee experience.

Enhancing Registration for a Seamless Experience

One of the key challenges in organizing events is streamlining the registration process. With digital transformation, registration has moved online, reducing the hassle of manual processes. Attendees can now use mobile apps to register, scan tickets, and access event information. This cashless system not only improves efficiency but also allows organizers to understand their audience better.

Leveraging Live Streaming for Greater Reach

Live streaming has become a popular feature in AI interactive events in the Philippines. It enables people who can't attend in person to participate virtually, providing a broader reach for events. Live streaming relies on strong internet connectivity, but when executed properly, it can significantly boost engagement and online visibility.

Immersive Experiences with Virtual and Augmented Reality

AI events are also embracing virtual and augmented reality to create immersive experiences. Virtual reality (VR) offers attendees the chance to explore virtual environments, while augmented reality (AR) enhances real-world experiences with digital elements. These technologies are being used to promote events, lead product demos, and engage attendees in new and exciting ways.

Hiring Talent with Digital Skillsets

To successfully execute AI interactive events, event organizers need skilled talent familiar with digital technologies. Hiring professionals who can adapt to new technology ensures a smoother transition into the digital realm of event management. This can also help in the development of innovative interactive displays and other AI elements.

Mobile Optimization for Enhanced Accessibility

Mobile optimization is crucial for interactive events. Attendees should be able to access event information, register, and participate in activities from their mobile devices. This requires robust internet connectivity and user-friendly apps. In AI events, mobile optimization plays a vital role in ensuring a seamless experience.

Creating Dynamic Interaction with AI Interactive Displays

Dynamic interaction is at the heart of immersive events. Interactive displays replace traditional paper-based materials, allowing attendees to navigate events using touchscreens and digital maps. These displays can also build online communities, encouraging attendees to engage with each other and share their experiences on social media platforms.

Embrace AI in the Events Industry Now

The rise of AI interactive events is transforming how events are organized and experienced. With immersive events, interactive displays, live streaming, and mobile optimization, event organizers are finding new ways to engage attendees and create memorable experiences. By embracing digital transformation, the events industry is set to reach new heights.

Whether you're planning an event or attending one, AI events offer a glimpse into the future of immersive and interactive experiences. As technology continues to evolve, so will the possibilities for creating dynamic and engaging events.Ready to explore AI interactive events in the Philippines? Discover how these innovative approaches can elevate your event experiences. Contact Waveplay Interactive now.

[buddy-arc]

@quillheel / Nteraction call <3

what would perhaps be monotonous routine is interrupted by an event of the innate and unexpected breed. the ceiling, ever so unassuming in one second, is rapidly punctured in the next. a form falls through the air like a stone, impacting the ground of the bay in a blur of large knife-like feathers as mechanical wings flail to and fro; they unsuccessfully attempt to prevent their owner’s collision, only serving to dish out more destruction to anything in their vicinity.

dust of some kind is kicked up and conceals the visage of the disassembly drone. N reels from the impact, lights on his head flickering on and off as he tries to recalibrate his systems. it’s hardly a few moments before he moves, hands retracting in favor of machete-like claw extensions, gracing the edge of the crater he’s made. there’s mechanical creaking and the sound of his wing’s blades scraping together as he rises to a crouching position, then drops to all fours—claws and knees—unceremoniously with a clang. error messages flash across his screen. he can’t make sense of what’s happening and happened — high turbulence of the unusual kind was experienced and had thrown everything off kilter. everything is throwing errors as his internal self-repair system begins to work on knitting him back together.

damaged scanners pick up the approach of a lifeform. N’s tail raises, poised at his side like a scorpion as he backs up and lands in a sitting position. three of the five eyes on his headband flicker an angry red instead of a soft, functional yellow. once again, optical sensors have been knocked offline. that’s fine. he’s used to it. the drone’s screen still shows lines and lines of error code and self-diagnosis program results, but N raises a bladed hand and waves.

“entity unidentified—h-hi there!” he sputters in his speech, his voice module fluctuating in volume as it repairs itself, “unregistered organic being! cool! hhow are you-ou-ou today?”

[puppyexpressions]

Home Alone: Why It's Important to Teach Your Dog to be Alone

At some point in their life, your dog will need to be left alone. Unfortunately for us, we just can’t take them with us everywhere we go. 

An important part of raising your puppy or welcoming a new dog into your life is to help them get used to being alone.

If your dog never learns how to stay calm when home alone for varying amounts of time, they can develop separation anxiety — which is a tough condition to treat. It’s much easier to prevent separation anxiety than it is to fix after the fact, and teaching your puppy or dog how to be alone is the number one thing you can do for anxiety prevention.

If your dog never learns how to stay calm when home alone for varying amounts of time, they can develop separation anxiety — which is a tough condition to treat. It’s much easier to prevent separation anxiety than it is to fix after the fact, and teaching your puppy or dog how to be alone is the number one thing you can do for anxiety prevention.

Dogs are social creatures and it's important they share in daily life and get to spend time with their family. But taking the time to make sure they will feel A-OK if you need to leave them at home for a bit is essential for their mental well-being.

Follow these tips to help your pup learn that being alone is just fine:

Crate Train Your Dog or Create a Long-Term Confinement Area

You don't necessarily want to just give a new puppy or dog free access to your entire home right away, so it's important to make sure they have their own area to hang out in while you're gone (or while you're home). Crate training is a wonderful option for helping dogs relax while left alone and keeps them out of trouble. Many dogs who are properly crate trained feel more secure in their crate when left alone — it's like being in their own room with their favorite things.

For puppies that are still working on potty training, creating a "Puppy Zone" for long-term confinement is a great option to begin practicing leaving them alone. You can encourage calm behavior by plugging in a dog pheromone diffuser near their zone, or spraying their bedding with pheromone spray (a spritz or two is all that's needed, more is not better). As your puppy gets older or as your new dog acclimates to their new home, you can start allowing access to larger areas of your home when they're left alone, as long as you've made sure everything is puppy-proofed! (See here for a 10-point checklist for Puppy Proofing Your Home.)

Create Positive Associations with Being Left Alone

To help your dog learn that being alone is actually pretty awesome, you want to create an association between your absence and something they enjoy. For many dogs this is something food-related, but you can also keep certain toys specifically for when you leave your dog alone, and put them away when you return.

When you are getting ready to leave, grab a stuffed Kong or another high-value interactive toy or food puzzle and give it to your dog.  When you arrive back home, remove the toy and put it away until next time you leave. This way your dog learns that the good stuff only comes out when you're gone.

Start Slow

Leave your dog alone with their yummy treat for only a minute or two the first time. Leave the room but stay home for the first few times your dog is alone, extending the amount of time they're hanging out without you. As they get used to being alone, introduce actually leaving the home while they're busy working on their interactive toy or chew. A great time to practice this is when you're taking the garbage out, grabbing the mail from the mailbox, or need to do a quick grocery store run.

Keep Your Departures and Arrivals Low-Key

Don’t make a big deal about leaving them at home without you. You want your dog to learn that humans coming and going isn't a huge event. While we all love having our dogs greet us happily when we arrive home, excessive greetings (which include body slamming, seemingly uncontrollable vocalization, or greetings that last a long time) can be a sign of separation anxiety.

In my own experience, when I had two dogs it was simply just too crowded in the entryway of my home when they both wanted to greet me. I decided that I would ignore them as I came in and set my things down, took off my coat and shoes, and when they finally settled in the family room (away from the door), I would go to them for a greeting and some play.

Within a few days of practicing, they caught on that the faster they settled down, the sooner I would say hi! Not only did this prevent jumping on me at the door, but it also created a much more settled arrival routine and saved me from tripping over my two Corgis underfoot. Teaching your dog to Go to Bed when you arrive home is a similar training behavior that you can use when you arrive home.

When I leave home and my dog is staying behind, I do tell her goodbye and always say "Be good, I'll be back" as I leave — at which point she usually gives me a look that says "Finally!" and goes to enjoy her Kong that's been stuffed with her breakfast or curls back up in bed.

While my dog seems to enjoy her alone time (since she's learned that being alone is pretty great with hidden treats and interactive toys ... or simply the fact that she gets to sleep in some more), dogs who get anxious when you leave will key in to any anxiety you're feeling about leaving them alone. Keep your energy relaxed to encourage your dog to stay relaxed as well.

Provide Lots of Exercise and Mental Enrichment

Ensuring your dog has enough exercise is important for so many behavior issues — and it isn't all about physical exercise either. Mental enrichment is just as important for your pup, and working their brain helps to tire them out just like going for a long walk. If they've gotten enough physical and mental exercise, when you leave them home alone they'll be more likely to sleep!

Some great enrichment activities include:

Taking your dog on a "sniffing safari" where they get to exercise their sense of smell

Teach your dog a new trick using clicker training

Make a dog puzzle for your pup to solve

Play Hide and Seek — not only does this build strong training cues, but it's a great way to exercise your dog both physically and mentally on a rainy day!

Feed their regular meals using a puzzle bowl or a snuffle mat.

By taking the time to teach your dog that being alone is nothing to stress out about, you'll be saving your pup from unnecessary stress or anxiety later in life. If your dog is already exhibiting signs of separation anxiety or other problem behaviors when left alone, it's best to work with a certified dog trainer who can help you address these and work through the above steps with you.

[petejknapp]

ICYMI, PLM client Lindsay Cumming’s latest novel ZENITH, co-written with Sasha Alsberg, came out last week! The epic YA space adventure follows  Androma Racella, also known as the Blood Baroness, a powerful mercenary whose reign of terror stretches across the Mirabel Galaxy. When a routine mission goes awry, Andi and her all-girl crew aboard her ship the Marauder are tested as they find themselves in a treacherous situation—and at the mercy of a sadistic bounty hunter from Andi’s past.

Here’s a rundown on some exciting news around the book’s release:

Hypable premiered the book trailer -- check it out here!

USA Today’s Happily Ever After blog featured an excerpt on their blog, here. 

The Chicago Tribune did a profile on the authors in their Lake County News Sun edition -- check it out here. 

The author’s released a new brilliant website, which we worked on with The Hot Brain. Check out the website here. 

And more specifically, check out this amazing interactive map on their website! 

Lindsay and Sasha are in the  middle of an epic tour across the continent. So far they’ve done events in Chicago, Milwaukee, Boston, New York and Toronto. They have events coming up in Frisco/Dallas, San Diego, Los Angeles, San Francisco and Burnaby/Vancouver. Find details here. 

These are just some of the many highlights around Zenith’s release.

[pixelproductions]

How to Use Interactive Content Marketing Platforms to Drive Business

Customer engagement is key when using Interactive Content Marketing Platforms to Drive Business because it’s entirely based on audience interaction.

Interactive advertising is a customer-oriented method of advertising that engages the customer as well as requires their interaction.

The most preferred kinds of interactive advertising and website marketing using content are polls, studies, quizzes as well as video games. This type of web content can assist you to drive recognition, involve your audience, produce high-converting leads, transform to sales, or nurture brand commitment. Interactive content is a very efficient means to break through all the noise your customers hear and also offer genuine value, guidance and also education while allowing the individual to straight engage keeping that web content.

Interactive web content isn’t really a new thing, but it has only just begun to gain significant traction among online marketers in terms of turning potential customers into sales. This is exactly what we’re going to look at in a little more detail…

Methods to use interactive content marketing platforms to Drive Sales

Interactive Content Marketing And Advertising

Since interactive content marketing entails making use of content to involve your audience based on their participation, it’s critical to make sure that your website and your advertising materials are tailored to do just that.

By Promoting the Social Network

Instead of routing followers to your normal post, create a new experience by getting them to engage prior to visiting your website content. For example, Orbitz ran an interactive test on its website so individuals could figure out just how deserving their traveling partners were, but enticed the user to act on social channels first.

By Improving the Website’s Customer Experience (UX).

If you’re continuously providing an incredible individual experience or UX, you can anticipate individuals to bookmark you as well as likewise go back to view future content. User experience is one of the biggest factors in drawing in new traffic and keeping existing customers engaged with your brand.

By Promoting Hu

man Nature

It’s not human nature to fill out a boring form just because, but people are drawn to games. That’s why gamification has actually come to be such an important part of interactive content strategy. For example, a hub involves, a worker involvement platform, makes use of gamification to help boost worker participation. There’s a public leaderboard so workers can contend along with benefits connected to quizzes and also prizes.

By Boosting Brand Exposure and Loyalty:

With More Social Shares Comes More Brand Name Direct Exposure as well as Commitment.

Word of mouth stays one of the most effective assets for any kind of marketing professional. If individuals are speaking about your service, you have an advantage in the sector. And if you supply a rewarding, enjoyable, amusing, or academic experience, you’ll win visitors’ commitment.

Interactive Web Content Supplies Better Data to Enhance Your Buyer Persona and also Your Sales Funnel.

Interactive web content is incredibly efficient at every phase of the sales funnel. As your customers relocate more detailed to a purchase, you can continue to involve them with top-notch, interactive web content. While UX is indisputably essential, you additionally wish to collect data. Surveys, surveys, and either-or quiz reactions are the very best ways to gather data regarding your target market.

Use Interactive Web Content to Enlighten Clients

Interactive web content is the perfect medium for educating, which is a critical factor in the buyer’s journey. A recent study showed that;

• 25% of people reported that they used interactive web material somehow, along with the top reason for doing so was to inform their target markets.

• 93% of the interactive team reported their item was rather reliable or incredibly trustworthy in educating customers, versus 70% for the passive group.

• To give this affirmation additional power, 45% of the advertising experts in the interactive team reported that their product was “really effective” at enlightening customers– vs. a simple 6% in the passive team.

See EmailMarketingROI.com for a circumstances of a reliable scholastic calculator.

Get Lead-Gen Goals

Whether it’s an analysis, a calculator, a research study or a few other layouts, you need to establish which kind of interactive content is the best suitable for your firm to attain your list building purposes and also maintain your C-suite satisfied. This may include some trial and error, yet right here are several of the advantages and downsides you’ll discover with each type.

Evaluations: Evaluations (or examinations) are one of the most recommended sorts of interactive internet content. They can be used by both B2B as well as B2C organizations. Like all interactive material, quizzes need either an interactive tool system or some personalized web development, so they’re generally a little a financial investment– though not as much so as several of the various other kinds of interactive content.

Calculators: it allows people to input selections to develop a unique numerical response. Calculators generally ask for much more time to develop as well as produce than evaluations do, as a result of the truth that service stakeholders should choose the outcomes provided in addition to back-end calculations that need to be created prior to launch. Nonetheless, calculators can additionally be the very best kind of interactive material to bring in leads because they normally use essential numerical details that assists the individual make purchase choices

Interactive books/ Whitepapers: Despite the fact they have in fact been around for a while now, whitepapers and additionally electronic books are still effective lead-gen tools for numerous firms. Lead-gen acts in a similar way that it would certainly for a common publication or whitepaper (a touchdown website with a gated type) or marketing professionals may pick to embed a kind directly in the PDF, with the choice to fill it set on “continue analysis.” Ion Interactive does a magnum opus with its interactive white records.

Reinforce Links with Existing Clients

Every company needs to pull in customers, along with they need an excellent list building technique to do it. So just how do you keep your existing clients excited about your brand? There are a range of materials that benefit promoting your existing consumers, including customer e-newsletters, occasions along with forums.

As an instance, you can produce an interactive survey to ask your present consumers exactly how they’re doing as well as demonstrate just how their responses stack up with various other participants. Interactive content can be a fantastic device for marketing experts. Efficient interactive material allows the private to dive in, connect, take pleasure in as well as gain understanding without appearing like he/she is being offered to.

Content Marketing And Advertising Campaigns

Interactive internet content can suit every part of your advertising and marketing landscape. Below are some instances:

Paid Media: Interactive CTAs generally drive higher click with rates as well as conversions than fixed CTAs considering that they influence the customer to entail.

Events: There are several methods you can incorporate interactive product right into events. With the information you gather from their interactive inputs, you can also individualize material specifically for them.

Blog site: Installed tests with lead forms directly right into your blog to collect leads from what or else would definitely have been ungated, recognition material.

Social Network: Social media site website is just one of the most efficient mediums for interactive internet content as a result of the truth that people are keyed to involve by sharing, taste as well as likewise engaging with others’ product.

Interactive content marketing platforms drive customer engagement through every channel when done properly. How are you using it as part of your inbound marketing program?

[lauragarciavestuario]

Diseño de vestuario. Dirección Jorge Alcover

[shirlleycoyle]

The Sexist Trolls Doubting Black Hole Researcher Katie Bouman Need to Learn to Code

Last week, fans of cool astronomical phenomena (read: almost everyone) rejoiced as an international team of scientists released the first ever image of a black hole. For the astrophysicists, software engineers, philosophers, and mathematicians who worked on the Event Horizon Telescope that captured the image, the announcement was an unprecedented milestone.

Their excitement was perhaps best embodied by a photo of one computer scientist on the Event Horizon Telescope team, Katie Bouman, who hid her beaming smile with her hands as she looked at the monumental rendering. Bouman had a lot to smile about—the image was created using petabytes of data that were stitched together using CHIRP, an algorithm that Bouman worked on. And Bouman had long served as a public face for the computer imaging aspect of the Event Horizon Telescope, delivering a TED Talk on the project in 2016.

But within a day of the announcement, online harassers created fake Instagram accounts for Bouman, started angry threads on Reddit and Hacker News asserting that she hadn’t done as much to help the project as she was getting credit for, and produced lengthy YouTube tirades, all with the aim of discrediting her contributions to the project.

In computer science, the supposed inferiority of women is unfortunately a fairly common belief, one that has at times been expressed by software engineers at major tech firms. But here, rather than use crackpot psychology, these trolls used bad-faith interpretations of public Github repositories, which programmers use to host source code for the purposes of collaboration and contribution, in an effort to legitimize their vitriol.

The main contention uniting these attacks was ostensibly rooted in data: According to one Github repository related to the project, astrophysicist Andrew Chael wrote “850,000 of the 900,000 lines of code…in the historic black-hole image algorithm.” But this is a laughably simplistic assessment for a software library that was built with and released on open source licenses, which allow anyone in the world to use and adapt their code without much consideration for the number of lines of code shared along the way.

Microsoft software engineer Safia Abdalla, a maintainer on the open source interactive computing library nteract, told me via Twitter DM that one of the core tenants of open source is a community-focused approach to code.

“A lot of interesting innovations have come out of open source because innovative and interesting technical ideas thrive in open spaces,” she said. “Any open space needs to have a healthy community to foster collaboration and execution on ideas.”

“We might spend six hours hashing out some really difficult problem together… and at the end of the day, there might be five lines of code that were changed by one person”

Abdalla noted that open source programming thrives on a variety of contributions that never shows up on a GitHub repository or in the code itself, like planning releases, reviewing the work of fellow contributors, and writing documentation. In fact, lack of collaborative participation is one of the major threats to many invaluable open source libraries. She said the “lines of code” critique is reductive: “One person can add 20 lines of code to a project that add relatively little value, but another person might add a single line of code that resolves a major bug. You really have to look at open source with more nuance than lines of code.”

For programmers with even a basic knowledge of software development, it should seem obvious that the number of lines one commits to Github hardly correlates with success as an engineer. On principle, this kind of assessment is completely detached from the reality of software development.

Judging someone’s skill by their volume of code violates core principles of software development, like “D.R.Y.,” or “Don’t Repeat Yourself,” a philosophy that values reusable software over redundant code. But beyond technical critiques of “good” and “bad” code, such judgements simplify years of collaborative brainstorming down to a few lines on Github. For those most intimately involved with the Event Horizon Telescope, this couldn’t be further from the truth.

Andrew Chael, whom those harassing Bouman wanted to herald as the “real” hero of the black hole image, quickly jumped in to defend Bouman on Twitter, reinforcing the level of teamwork that went into the project. “While I wrote much of the code for one of these pipelines, Katie was a huge contributor to the software; it would have never worked without her contributions,” he said. “This was a team effort including contributions from many junior scientists, including many women junior scientists. Together, we all make each other’s work better; the number of commits doesn’t tell the full story of who was indispensable.”

Astrophysicist Michael D. Johnson, who worked with Chael and Bouman on the Event Horizon Telescope, also found these attempts to assign individualized credit to be woefully removed from the reality of collaboration on the Event Horizon Telescope.

“Certainly, we never gauged each other’s contributions by lines of code,” he told me on the phone. “We might spend six hours hashing out some really difficult problem together… and at the end of the day, there might be five lines of code that were changed by one person.”

“All of this work is so tightly interlocked. Trying to assess it based on code here or there is just so profoundly misguided,” he added.

Seeking to credit one person for the development of an open source technology is not only massively simplistic from a technical perspective, but antithetical to the open source community’s goals and ambitions

And it was not just brain power that was indelibly interwoven in the development of the Event Horizon Telescope; like many codebases, the “eht-imaging” repository at the center of this debate is indebted to open source technologies, starting with Python, the language for the project. Johnson said working with open source technologies like Git and Python “just opens up so many scientific opportunities that would never be possible in a language like C, where it would take years of development from professional developers to do the same sort of thing.”

If not for Python modules like numpy and matplotlib, community libraries that provide tools like scientific computing and plotting, days of work could have instead taken “months or even years of effort,” said Johnson.

Of course, these scientists used these technologies to build proprietary algorithms to solve dense, complex problems pertaining to black hole computer imaging; using open source libraries certainly does not discredit years of research and development. But seeking to credit one person for the development of an open source technology is not only massively simplistic from a technical perspective (lest we count the millions of lines of code written in the numpy library alone), but antithetical to the open source community’s goals and ambitions.

In scientific fields that thrive on data, sexism can pass as legitimate when couched in the language of cold, unfeeling numbers and percentage points. But anyone with even a basic understanding of modern computer science should quickly realize how dangerous and plainly wrong these trolls are when they weaponize metadata from public Github repositories.

Though most in the scientific community were quick to dismiss these critiques and instead acknowledge the Event Horizon Telescope team’s monumental scientific achievements, thousands of people flocked to YouTube, Reddit, and HackerNews to amplify this false narrative. When contributions are reduced to individual lines of code, it threatens to derail the ethos of open source, a community that, at its best, is a symbol of the free exchange of ideas and information the internet promised to achieve.

The Sexist Trolls Doubting Black Hole Researcher Katie Bouman Need to Learn to Code syndicated from https://triviaqaweb.wordpress.com/feed/

[marketinggenomeproject]

2 Creative Trade Show Booth Ideas to Rock Your Next Event

Building a Unique Trade Show Booth

When you walk into an exhibit hall there are aisles upon aisles of booths. The majority follow a standard formula. Square or rectangle, tables and chairs. These are the boring modular exhibits that get passed over and over unless there's something to really grab the eye. Whether it be bold branding, impressive tension fabric graphics, or most importantly a unique design, there is a huge importance of having creative trade show booth ideas and vision.

There are countless ways to come up with unique trade show booths that will ultimately stand out from the competition. We find most fall into two major categories; physical and experiential design. From a physical standpoint, strategies include booth elements that can be worked into an existing design to draw in traffic on a crowded show floor. From the experiential side, the underlining goal is to engage attendees and potential clients by getting them involved and, most importantly, giving them more time to explore the brand.

  Part 1: Physical Standpoint

When it comes to the physical aspects we find there are many ways to boost the first impression value of your booth. Using unique angles and shapes like; curved walls, canopies and integrated signage will immediately draw eyes to the full exhibit structure.

Angles & Shape Characteristics:Strategic lighting is another great technique to make people turn their heads. Accenting with LED exhibit lightboxes, arm lights and overhead spotlights are relatively affordable ways to not only coax from outside the booth but to really showcase important elements inside the booth as well.

Lighting Characteristics:

One last major physical creative trade show booth idea, how you use different materials like exhibit graphics to both accentuate your brand and translate what your business is all about. Whether it be the relaxed, crafty atmosphere of warm wood, edgy and artsy bright polished acrylics, or a raw strength associated metal textures; all can help instill your brand image to trade show attendees while simultaneously holding their attention for longer. 

Material Characteristics

 Want More Ideas?

Explore 100's of Creative Trade Show Booth Design Ideas below 

  Part 2: Experiential Standpoint

The next major component of a truly unique trade show booth is how you engage attendees and customers. Capitalizing on the experiential aspect is truly a no-brainer tactic for your brand. Trade shows are after all - an experiential event in themselves. The main goal of conventions is to get a mass of like-minded people together in one place, socializing, interacting and experiencing what brought them there in the first place. 

So what works? We consistently notice offering a photo opportunity with your products or branding is a great way to get people involved. When you couple this with social media, brand awareness and brand loyalty increase exponentially. We have a tendency to come up with very outside-the-box ideas with trade show photo booths and photo-ops in general. Case in point:

    Interactive Elements

If bathroom stalls are any indication of a basic human need to express themselves then using interactive walls, message boards or touchscreens is another experiential way for people to leave their mark and feel truly welcomed by your brand. The SXSW Lite-Brite Wall we did for Cool Effect was such a hit, it was featured in Exhibitor Magazine. 

Other creative trade show booth ideas for building a greater experience? Keep in mind; everyone loves free giveaways, there is an inner gamer in everyone, and live entertainment - good or just plain ridiculous - is always memorable.

    Bringing It All Together

Designing truly unique trade show booths are one of the most important tools for building brand awareness. That being said, it can be a full-time job in and of itself. From the initial trade show booth design ideas, sourcing materials, experience planning, and the build alone take tons of effort to implement successfully.

A major consideration for anyone planning for an upcoming trade show is hiring an exhibit house with all the tools and expertise to give you a stress-free experience. We like to offer a full-service event management approach to our clients. Taking out the guesswork, handling all design and logistics, and providing a smooth process from start to finish. Whether it’s your first rodeo and you want a team that can get your booth to hit the ground running; or if you’ve been around the block and you’re looking to take a new direction, we can deliver.

  from Blog http://bit.ly/2RZMPy6 via IFTTT

[donna-murdoch]

Beyond Interactive: Notebook Innovation at Netflix – Netflix TechBlog – Medium

By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley

Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, we’re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And we’re making big investments to help make this vision a reality.

In this post, we’ll share our motivations and why we find Jupyter notebooks so compelling. We’ll also introduce components of our notebook infrastructure and explore some of the novel ways we’re using notebooks at Netflix.

If you’re short on time, we suggest jumping down to the Use Cases section.

Motivations

Data powers Netflix. It permeates our thoughts, informs our decisions, and challenges our assumptions. It fuels experimentation and innovation at unprecedented scale. Data helps us discover fantastic content and deliver personalized experiences for our 130 million members around the world.

Making this possible is no small feat; it requires extensive engineering and infrastructure support. Every day more than 1 trillion events are written into a streaming ingestion pipeline, which is processed and written to a 100PB cloud-native data warehouse. And every day, our users run more than 150,000 jobs against this data, spanning everything from reporting and analysis to machine learning and recommendation algorithms. To support these use cases at such scale, we’ve built an industry-leading Data Platform which is flexible, powerful, and complex (by necessity). We’ve also built a rich ecosystem of complementary tools and services, such as Genie, a federated job execution service, and Metacat, a federated metastore. These tools simplify the complexity, making it possible to support a broader set of users across the company.

User diversity is exciting, but it comes at a cost: the Netflix Data Platform — and its ecosystem of tools and services — must scale to support additional use cases, languages, access patterns, and more. To better understand this problem, consider 3 common roles: analytics engineer, data engineer, and data scientist.

Example of how tooling & language preferences may vary across roles

Generally, each role relies on a different set of tools and languages. For example, a data engineer might create a new aggregate of a dataset containing trillions of streaming events — using Scala in IntelliJ. An analytics engineer might use that aggregate in a new report on global streaming quality — using SQL and Tableau. And that report might lead to a data scientist building a new streaming compression model — using R and RStudio. On the surface, these seem like disparate, albeit complementary, workflows. But if we delve deeper, we see that each of these workflows has multiple overlapping tasks:

data exploration — occurs early in a project; may include viewing sample data, running queries for statistical profiling and exploratory analysis, and visualizing data

data preparation — iterative task; may include cleaning, standardizing, transforming, denormalizing, and aggregating data; typically the most time-intensive task of a project

data validation — recurring task; may include viewing sample data, running queries for statistical profiling and aggregate analysis, and visualizing data; typically occurs as part of data exploration, data preparation, development, pre-deployment, and post-deployment phases

productionalization — occurs late in a project; may include deploying code to production, backfilling datasets, training models, validating data, and scheduling workflows

To help our users scale, we want to make these tasks as effortless as possible. To help our platform scale, we want to minimize the number of tools we need to support. But how? No single tool could span all of these tasks; what’s more, a single task often requires multiple tools. When we add another layer of abstraction, however, a common pattern emerges across tools and languages: run code, explore data, present results.

As it happens, an open source project was designed to do precisely that: Project Jupyter.

Jupyter Notebooks

Jupyter notebook rendered in nteract desktop featuring Vega and Altair

Project Jupyter began in 2014 with a goal of creating a consistent set of open-source tools for scientific research, reproducible workflows, computational narratives, and data analytics. Those tools translated well to industry, and today Jupyter notebooks have become an essential part of the data scientist toolkit. To give you a sense of its impact, Jupyter was awarded the 2017 ACM Software Systems Award — a prestigious honor it shares with Java, Unix, and the Web.

To understand why the Jupyter notebook is so compelling for us, consider the core functionality it provides:

a messaging protocol for introspecting and executing code which is language agnostic

an editable file format for describing and capturing code, code output, and markdown notes

a web-based UI for interactively writing and running code as well as visualizing outputs

The Jupyter protocol provides a standard messaging API to communicate with kernels that act as computational engines. The protocol enables a composable architecture that separates where content is written (the UI) and where code is executed (the kernel). By isolating the runtime from the interface, notebooks can span multiple languages while maintaining flexibility in how the execution environment is configured. If a kernel exists for a language that knows how to communicate using the Jupyter protocol, notebooks can run code by sending messages back and forth with that kernel.

Backing all this is a file format that stores both code and results together. This means results can be accessed later without needing to rerun the code. In addition, the notebook stores rich prose to give context to what’s happening within the notebook. This makes it an ideal format for communicating business context, documenting assumptions, annotating code, describing conclusions, and more.

Use Cases

Of our many use cases, the most common ways we’re using notebooks today are: data access, notebook templates, and scheduling notebooks.

Data Access

Notebooks were first introduced at Netflix to support data science workflows. As their adoption grew among data scientists, we saw an opportunity to scale our tooling efforts. We realized we could leverage the versatility and architecture of Jupyter notebooks and extend it for general data access. In Q3 2017 we began this work in earnest, elevating notebooks from a niche tool to a first-class citizen of the Netflix Data Platform.

From our users’ perspective, notebooks offer a convenient interface for iteratively running code, exploring output, and visualizing data — all from a single cloud-based development environment. We also maintain a Python library that consolidates access to platform APIs. This means users have programmatic access to virtually the entire platform from within a notebook. Because of this combination of versatility, power, and ease of use, we’ve seen rapid organic adoption for all user types across our entire platform.

Today, notebooks are the most popular tool for working with data at Netflix.

Notebook Templates

As we expanded platform support for notebooks, we began to introduce new capabilities to meet new use cases. From this work emerged parameterized notebooks. A parameterized notebook is exactly what it sounds like: a notebook which allows you to specify parameters in your code and accept input values at runtime. This provides an excellent mechanism for users to define notebooks as reusable templates.

Our users have found a surprising number of uses for these templates. Some of the most common ones are:

Data Scientist: run an experiment with different coefficients and summarize the results

Data Engineer: execute a collection of data quality audits as part of the deployment process

Data Analyst: share prepared queries and visualizations to enable a stakeholder to explore more deeply than Tableau allows

Software Engineer: email the results of a troubleshooting script each time there’s a failure

Scheduling Notebooks

One of the more novel ways we’re leveraging notebooks is as a unifying layer for scheduling workflows.

Since each notebook can run against an arbitrary kernel, we can support any execution environment a user has defined. And because notebooks describe a linear flow of execution, broken up by cells, we can map failure to particular cells. This allows users to describe a short narrative of execution and visualizations that we can accurately report against when running at a later point in time.

This paradigm means we can use notebooks for interactive work and smoothly move to scheduling that work to run recurrently. For users, this is very convenient. Many users construct an entire workflow in a notebook, only to have to copy/paste it into separate files for scheduling when they’re ready to deploy it. By treating notebooks as a logical workflow, we can easily schedule it the same as any other workflow.

We can schedule other types of work through notebooks, too. When a Spark or Presto job executes from the scheduler, the source code is injected into a newly-created notebook and executed. That notebook then becomes an immutable historical record, containing all related artifacts — including source code, parameters, runtime config, execution logs, error messages, and so on. When troubleshooting failures, this offers a quick entry point for investigation, as all relevant information is colocated and the notebook can be launched for interactive debugging.

Notebook Infrastructure

Supporting these use cases at Netflix scale requires extensive supporting infrastructure. Let’s briefly introduce some of the projects we’ll be talking about.

nteract is a next-gen React-based UI for Jupyter notebooks. It provides a simple, intuitive interface and offers several improvements over the classic Jupyter UI, such as inline cell toolbars, drag and droppable cells, and a built-in data explorer.

Papermill is a library for parameterizing, executing, and analyzing Jupyter notebooks. With it, you can spawn multiple notebooks with different parameter sets and execute them concurrently. Papermill can also help collect and summarize metrics from a collection of notebooks.

Commuter is a lightweight, vertically-scalable service for viewing and sharing notebooks. It provides a Jupyter-compatible version of the contents API and makes it trivial to read notebooks stored locally or on Amazon S3. It also offers a directory explorer for finding and sharing notebooks.

Titus is a container management platform that provides scalable and reliable container execution and cloud-native integration with Amazon AWS. Titus was built internally at Netflix and is used in production to power Netflix streaming, recommendation, and content systems.

We explore this architecture in our follow-up blog post, Scheduling Notebooks at Netflix. For the purposes of this post, we’ll just introduce three of its fundamental components: storage, compute, and interface.

Notebook Infrastructure at Netflix

Storage

The Netflix Data Platform relies on Amazon S3 and EFS for cloud storage, which notebooks treat as virtual filesystems. This means each user has a home directory on EFS, which contains a personal workspace for notebooks. This workspace is where we store any notebook created or uploaded by a user. This is also where all reading and writing activity occurs when a user launches a notebook interactively. We rely on a combination of [workspace + filename] to form the notebook’s namespace, e.g. /efs/users/kylek/notebooks/MySparkJob.ipynb. We use this namespace for viewing, sharing, and scheduling notebooks. This convention prevents collisions and makes it easy to identify both the user and the location of the notebook in the EFS volume.

We can rely on the workspace path to abstract away the complexity of cloud-based storage from users. For example, only the filename of a notebook is displayed in directory listings, e.g. MySparkJob.ipynb. This same file is accessible at ~/notebooks/MySparkJob.ipynb from a terminal.

Notebook storage vs. notebook access

When the user schedules a notebook, the scheduler copies the user’s notebook from EFS to a common directory on S3. The notebook on S3 becomes the source of truth for the scheduler, or source notebook. Each time the scheduler runs a notebook, it instantiates a new notebook from the source notebook. This new notebook is what actually executes and becomes an immutable record of that execution, containing the code, output, and logs from each cell. We refer to this as the output notebook.

Collaboration is fundamental to how we work at Netflix. It came as no surprise then when users started sharing notebook URLs. As this practice grew, we ran into frequent problems with accidental overwrites caused by multiple people concurrently accessing the same notebook . Our users wanted a way to share their active notebook in a read-only state. This led to the creation of Commuter. Behind the scenes, Commuter surfaces the Jupyter APIs for /files and /api/contents to list directories, view file contents, and access file metadata. This means users can safely view notebooks without affecting production jobs or live-running notebooks.

Compute

Managing compute resources is one of the most challenging parts of working with data. This is especially true at Netflix, where we employ a highly-scalable containerized architecture on AWS. All jobs on the Data Platform run on containers — including queries, pipelines, and notebooks. Naturally, we wanted to abstract away as much of this complexity as possible.

A container is provisioned when a user launches a notebook server. We provide reasonable defaults for container resources, which works for ~87.3% of execution patterns. When that’s not enough, users can request more resources using a simple interface.

Users can select as much or as little compute + memory as they need

We also provide a unified execution environment with a prepared container image. The image has common libraries and an array of default kernels preinstalled. Not everything in the image is static — our kernels pull the most recent versions of Spark and the latest cluster configurations for our platform. This reduces the friction and setup time for new notebooks and generally keeps us to a single execution environment.

Under the hood we’re managing the orchestration and environments with Titus, our Docker container management service. We further wrap that service by managing the user’s particular server configuration and image. The image also includes user security groups and roles, as well as common environment variables for identity within included libraries. This means our users can spend less time on infrastructure and more time on data.

Interface

Earlier we described our vision for notebooks to become the tool of choice for working with data. But this presents an interesting challenge: how can a single interface support all users? We don’t fully know the answer yet, but we have some ideas.

We know we want to lean into simplicity. This means an intuitive UI with a minimalistic aesthetic, and it also requires a thoughtful UX that makes it easy to do the hard things. This philosophy aligns well with the goals of nteract, a React-based frontend for Jupyter notebooks. It emphasizes simplicity and composability as core design principles, which makes it an ideal building block for the work we want to do.

One of the most frequent complaints we heard from users is the lack of native data visualization across language boundaries, especially for non-Python languages. nteract’s Data Explorer is a good example of how we can make the hard things simpler by providing a language-agnostic way to explore data quickly.

You can see Data Explorer in action in this sample notebook on MyBinder. (please note: it may take a minute to load)

Visualizing the World Happiness Report dataset with nteract’s Data Explorer

We’re also introducing native support for parametrization, which makes it easier to schedule notebooks and create reusable templates.

Native support for parameterized notebooks in nteract

Although notebooks are already offering a lot of value at Netflix, we’ve just begun. We know we need to make investments in both the frontend and backend to improve the overall notebook experience. Our work over the next 12 months is focused on improving reliability, visibility, and collaboration. Context is paramount for users, which is why we’re increasing visibility into cluster status, kernel state, job history, and more. We’re also working on automatic version control, native in-app scheduling, better support for visualizing Spark DataFrames, and greater stability for our Scala kernel. We’ll go into more detail on this work in a future blog post.

Open Source Projects

Netflix has long been a proponent of open source. We value the energy, open standards, and exchange of ideas that emerge from open source collaborations. Many of the applications we developed for the Netflix Data Platform have already been open sourced through Netflix OSS. We are also intentional about not creating one-off solutions or succumbing to “Not Invented Here” mentality. Whenever possible, we leverage and contribute to existing open source projects, such as Spark, Jupyter, and pandas.

The infrastructure we’ve described relies heavily on the Project Jupyter ecosystem, but there are some places where we diverge. Most notably, we have chosen nteract as the notebook UI for Netflix. We made this decision for many reasons, including alignment with our technology stack and design philosophies. As we push the limits of what a notebook can do, we will likely create new tools, libraries, and services. These projects will also be open sourced as part of the nteract ecosystem.

We recognize that what makes sense for Netflix does not necessarily make sense for everyone. We have designed these projects with modularity in mind. This makes it possible to pick and choose only the components that make sense for your environment, e.g. Papermill, without requiring a commitment to the entire ecosystem.

What’s Next

As a platform team, our responsibility is to enable Netflixers to do amazing things with data. Notebooks are already having a dramatic impact at Netflix. With the significant investments we’re making in this space, we’re excited to see this impact grow. If you’d like to be a part of it, check out our job openings.

Phew! Thanks for sticking with us through this long post. We’ve just scratched the surface of what we’re doing with notebooks. This post is part one in a series on notebooks at Netflix we’ll be releasing over the coming weeks. You can follow us on Medium for more from Netflix and check out the currently released articles below:

Part I: Notebook Innovation (this post)

Part II: Scheduling Notebooks

We’re thrilled to sponsor this year’s JupyterCon. If you’re attending, check out one of the 5 talks by our engineers, or swing by our booth to talk about Jupyter, nteract, or data with us.

8/22 1:30 PM — How to Build on top of Jupyter’s Protocols, Kyle Kelley

8/23 1:50 PM — Scheduled Notebooks: Manageable and traceable code execution, Matthew Seal

8/23 2:40 PM — Notebooks @ Netflix: From Analytics to Engineering, Michelle Ufford, Kyle Kelley

8/23 5:00 PM — Making beautiful objects with Jupyter, M Pacer

8/24 2:40 PM — Jupyter’s configuration system, M Pacer et. al.

8/25 9AM — 5PM JupyterCon Community Sprint Day

There are more ways to learn from Netflix Data and we’re happy to share:

@NetflixData on Twitter

Netflix Data talks on YouTube

Netflix Research website

You can also stay up to date with nteract via their mailing list and blog!

[lumopunu-blog]

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It offers taсt&#Shopmozo0;cs that will allow you to сome up with most readily useful outcomes from internet affiliate marketing when coupled   with Shopmozo #BONUS 11: Instant Squeeze Builder Ѕque éze pages will be the many tool that is powerful attrаct audiences to subscribе tó your liѕt. But thе true point is, ѕtill most are getting   the challеnge of fabricating a website landing  page with regards to their e-mail marketing camрaign. However  with th&#Shopmozo0;s bònus, Inѕtant Squеeze  Page Makеr, comes a huge hеlp  in creating ease. No ćoding rеquired, all you've got to complete is, simply set the program and you're all donе  with it. You need to use these squeeze pages to display offers that are special over yοur Shopmozo shop tо inténsify advantages. #BOΝUS 12: Ѕolo Ad Breakthrough Traffic is essential to evеry internet site. Аnd there áre mаny compensated and freе ways to find viѕitors for the internet sites. But the majority of times, the free stratеgy оf creating traff&#Shopmozo0;c work slow set alongside  the paid ones. Solo ads is amongst the most useful alternatives regard&#Shopmozo0;ng gathering trаffic towards your site since it is fast and simple thаt anyone  can repeat this. Sufficient reason for Shopmozo you obtain it as  a bónus to just take your marketing ways of a level. #BONUS 13: brand New Markéting Мinísitе Template website design plays a role that is helpful making your website more appealing tó yοur audience and be noticed from your own compet&#Shopmozo0;tion. It's also among the facets to ćonvert yоur traffic intο сustomers. And then it can burn a hole in your wallet as hiring an expert is always an option but finding the one in the limited budget is a daunting task if you are not a web designer. With this particular bonuѕ package, yoυ can build stunning minisites that can give  a start that is good your web business. Sufficient reason for Shopmozo this packàge is just  a Win-Win sitυation. #BONUS 14: Original Exit Popup Traff&#Shopmozo0;c is thé lifeblood for each internet site bυt what if thοse peoplé whο see your site will just disappear completely nothing that is doing Well, inside this bonuѕ is really a softwarе that may replace  the game of this issuе. This plugin will engagé and obtain the interest of one's visitors that is approximately to go out of yoυr web page and provide thém one thing valuable from your web site. You can redireсt these potential customers tо your Shopmozo shop to increasе your  sales and comm&#Shopmozo0;ssions. #BONUЅ 15: Stoсk Images Images are extremely crucial in a variety of ways, particularly if you àre dоing marketing that is internet every other onl&#Shopmozo0;ne cаmpaigns. Βut uѕing a picture with no logic can result in a lοss to your online business. This is exactly  why many graphic musicians and marketers utilize stock pictures to relax and play it safé. But images that are using stock photo collection is extremely high priced. Any longer, as today they have been providing you with a collection  of pictures you could resell to уAour consumers or utilize it to create yοur affiliàté stores. Conclusion All in all, I actually do hope as you are able to gain more υnderstanding about that product along with produce  a smart choice before purchasing it. When you  have anуA question that is additional neéd some assistance, don't hesitate to have in contact  with me. Тhanks a complete great deal for reading my Shopmozo reviéw.

https://crownreviews.com/shopmozo-review Tags:

Shopmozo, Shopmozo review, Shopmozo review and bonus

[summerscramble-event]

what if we're not mutuals with a lot of the people in the event?

Apologies for the delay! 

But, as this event is primarily meant to celebrate community, we’re hoping people will try to branch out and interact with people they don’t always interact with– Check others out and give them a chance, so to speak! 

[jamesmcphee30]

Tune Up Your Code with the Crankshaft Compiler

Safia Abdalla is an open source developer and a maintainer on a project called nteract, but her pet topic is compilers. And, in her talk at Node.js Interactive, Abdalla explained the inner workings of the V8 compiler and how it can optimize the code it gets fed. Although Abdalla specifically focused on what goes on in the V8 compiler, she noted that there are many similarities to other compilers.

from martinos https://www.linux.com/news/event/nodejs/2017/3/tune-your-code-crankshaft-compiler