Apple Makes Siri More Competent With Latest iOS Update

What Happened
Apple upgraded Siri with some noteworthy new features in its latest iOS update, making it more competitive with rival digital assistants such as Amazon’s Alexa and Google Assistant that are quickly gaining grounds thanks to their comprehensive features and growing popularity of smart speakers. With Apple’s full rollout of its iOS 10.3 update on Tuesday, Siri now supports a wider range of app actions, including paying and checking bills via payment apps, booking rides from ride-hailing apps, checking car fuel, turning on connected lights, and several features for controlling connected devices.

What Brands Need To Do
We are merely at the beginning of a long battle where major tech companies race against each other to push their own digital assistant service as the default choice for customers so as to secure the user base, which will become particularly crucial once we move past the mobile era and enter the IoT era where most of our digital interactions happen on screenless connected devices that rely on voice-based conversational interfaces.

For brands, the new developments in voice-based assistants herald an impending sea change in customer-brand interactions, which brands will have to start preparing for today by figuring out a conversational strategy and find a way to integrate their brands into conversational platforms. For example, last week, Marriott reportedly started testing both Siri and Alexa to figure out which digital assistant is more competent to control the smart devices in its hotel rooms. Whichever one of two the hotel chain eventually decides on, the real winner will be the Marriott customers that get enjoy a modernized hotel experience.

How We Can Help
The Lab has extensive experience in building Alexa Skills and chatbots to reach consumers on conversational interfaces. So much so that we’ve built a dedicated conversational practice called Dialogue. The “Miller Time” Alexa Skill we developed with Drizly for Miller Lite is a good example of how Dialogue can help brands build a conversational customer experience, supercharged by our stack of technology partners with best-in-class solutions and an insights engine that extracts business intelligence from conversational data.

If you’d like to learn more about how to effectively reach consumers on conversational interfaces, or to leverage the Lab’s expertise to take on related client opportunities within the IPG Mediabrands, please contact our Client Services Director Samantha Holland ([email protected]) to schedule a visit to the Lab.

 


Source: GeoMarketing

Google Created A Video Intelligence API That Analyzes And Logs Video Content For Search

What Happened
Google has added a new powerful AI-powered cloud service to its growing arsenal. The search giant unveiled a Video Intelligence API at its Cloud Next conference, which uses machine learning technology to analyze video content, down to the objects or actions shown in a scene, logs those data, and makes that information searchable for users. This API should be particularly useful for media companies and brands looking to leverage digital video to deliver their messaging, as it allows them to easily categorize and manage their video content for targeting and personalization purposes.

What Brands Need To Do
While similar technologies exist for both image and speech recognition, this API from Google is the first of its kind to bring AI-powered cognitive analytics to videos. 87% of online marketers now rely on video content to reach their audience, and people are watching over 500 million hours of videos on YouTube alone every day. In order to stand out from the crowd, brands should work with content creators and media companies to figure out what kind of video content is resonating with their target audience, and learn to leverage the AI-powered solution to supercharge the process and deliver more personalized content.

 


Source: VentureBeat

MSC Cruises Launches Digitally Enhanced Guest Experiences

What Happened
MSC Cruises, the world’s largest privately-owned cruise line, debuted its fleet-wide digital innovation program at the travel industry trade show ITB Berlin. The company worked with companies including Deloitte Digital, HP Enterprise, and Samsung to develop a new cruise system MSC for Me, which leverages VR content, wearables, and RFID/NFC technology to deliver a connected, personalizable, and holistic guest experience.

Each guest will be given a connected bracelet that will offer guests quick access to the ship’s services and will activate geo-located suggestions through 3,050 bluetooth beacons. Other key features of this new program include digital way finder and mobile concierge services, a VR content for previewing their trips, and a gallery with interactive screens showing the photos and videos that guests shared.

What Brands Need To Do
If this program sounds familiar, it is because MSC’s approach is quite similar to the Ocean Medallion program that Carnival Cruise unveiled at this year’s CES. Together, this two new guest-oriented innovation programs point to the future of travel and hospitality, where new technologies such as wearable and cloud computing work together to deliver a frictionless and highly personalized experience for each guest, guiding them through each stage of their travel.

As AI and wearable tech continue to advance, their potential to transform the travel and hospitality industries is just starting to show. Therefore, brands would be smart to start exploring the vast potential they hold and incorporating them into your guest experiences.

 


Source: Yahoo Finance

Header image courtesy of MSC Cruise’s press release

Salesforce Enlists IBM Watson’s Help And Opens “Einstein” AI Layer To All Customers

What Happened
Salesforce is opening up “Einstein,” the artificial intelligence layer of its various cloud-based CRM software products, to all customers. This allows users of Salesforce product to tap Einstein’s AI smart to analyze and manage customer data, build predictive sales models, and streamline workflows.

The company is also launching the Einstein Vision platform — a collection of APIs that will let developers integrate image recognition capabilities to CRM and apps. This will make images a possible data input for Salesforce’s CRM system, allowing companies to gather insights from photos, such as detecting inventory levels or identifying customer preferences.

In addition, the company is teaming up with IBM to plug Watson into Salesforce’s Intelligent Customer Success platform, mixing customer insights from Watson based on local weather, healthcare, financial services, and retail with Einstein’s customer data to create a powerful data-driven CRM platform.

What Brands Need To Do
These new announcements from Salesforce come at a time when more and more companies are starting to experiment with AI-powered solutions in their business and marketing practices.  In January, Toyota launched a campaign that is partially generated by IBM’s machine learning program Watson, and last month, H&R Block integrated Watson into its tax filing system to helping people maximize their tax returns. As AI and machine learning technologies continue to develop, brands need to explore the kind of personalized user experience and product recommendations that AI-powered CRM solutions enable based on data and user input.

 


Source: TechCrunch & MarTech Today

Highway Billboards In Moscow Is Targeting Drivers Based On Which Cars They Drive

What Happened
Synaps Labs, a startup that focuses on dynamic digital out-of-home ads, has started testing its digital billboard along the highways in Moscow, enabling the billboards to change ads to target drivers passing by based on the models of their vehicles. By combining high-speed cameras and a proprietary machine-learning system that can recognize car models, its digital billboard is plugged into a bidding system then selects the appropriate ads to display as the targeted cars drive by. The company has planned tests for this digital highway billboards in the U.S. for this summer.

What Brands Need To Do
This digital billboard serves as the latest example of how AI-powered digital billboards may transform the OOH ads. Similarly, Smart data storage company Cloudian and Japanese advertising firm Dentsu has started testing similar billboards in Japan that can recognize the car models driving by and serve up targeted ads accordingly. According to a recent research from PQ Media, global OOH advertising revenue grew 6.2% in 2016 to $49.23 billion, with DOOH claiming most of the revenue growth. More brands should look for new ways to bring some interactivity and customizations to digital outdoor ads.

 


Source: MIT Tech Review

MWC 2017: Coca-Cola Wants To Plug AI Into Ad Creation

What HappenedIn an AdWeek interview at the Mobile World Congress, Mariano Bosaz, global senior digital director of Coca-Cola, said that he’s partly in Barcelona to check out the latest development in artificial intelligence and see if it can help with ad creations. According to him, Coke is interested in using artificial intelligence to improve content, media, and commerce, especially in streamlining the ad creation process and experimenting with automated narratives.

What Brands Need To DoAs artificial intelligence technology continue to advance, more and more brands are starting to incorporate AI solutions into their marketing and business practices. In January, Toyota launched a campaign that is partially generated by IBM’s machine learning program Watson, and last month, H&R Block integrated Watson into its tax filing system to helping people maximize their tax returns. So it makes perfect sense that Coca-Cola would want to jump on the bandwagon as well. The kind of personalized user experience and product recommendations that AI can offer based on data and user input is valuable for brands. Therefore, brand marketers need to consider how they can use their customer data to provide personalized experiences with the help of an AI engine.

 


Source: AdWeek

MWC 2017: Line Introduces Conversational AI Assistant Clova

What Happened
Line, Japan’s leading messaging app with over 217 million users, is working with Naver, South Korea’s biggest internet portal, to launch an intelligent voice assistant service named Clova to serve the East Asian markets.

Line’s CEO Takeshi Idezawa took the stage at a press event at the Mobile World Congress today to announce its plan to launch Clova, which will be accessible via a mobile app, a smart speaker WAVE, and a smart display device FACE. The Clova app is set to launch in Japan and South Korea this spring, with WAVE coming out in early summer and WAVE launching later this year. The company plans to roll out Clova products in other core markets such as Thailand and Indonesia later this year as well.

Leveraging Naver’s search technology and data and combining it with Line’s own user data and communication technology, Clova will able to offer precise, personalized answers to user’s voice commands, adopting local languages, content, and services to better serve its users.

In addition, Line is also in talks with the several companies including Sony and LG to integrate Clova into more consumer gadgets and connected devices, such as a Sony connected headphone, LG connected home appliances, connected toys from Takara Tomy, and even a holographic home robot called Winkle Gatebox that will serve an anthropomorphic visual component for Clova.

What Brands Need To Do
During the keynote presentation, Idezawa acknowledged that the goal behind launching Clova is to bring artificial intelligence technology to consumer gadgets and smart home devices so as to establish Clova as a local competitor to Amazon’s Alexa and Google Assistant in the Asian markets. This major launch also marks another major tech player entering the battleground for consumer attention with a voice assistant service as non-mobile-centric digital interactions start to emerge and pull the focus off smartphones.

As this trend continues to develop, voice-based conversational services stand to quickly gain more ground in the next few years. Therefore, It is up to brands to start working with developers to figure out their brand voice and incorporate conversational tools into their marketing efforts. Even brands that won’t embed voice into their own product experiences should still look to capitalize on the opportunity by offering complementary services to add value.

How We Can Help
The Lab has extensive experience in building Alexa Skills and chatbots to reach consumers on conversational interfaces. So much so that we’ve built a dedicated conversational practice called Dialogue. The “Miller Time” Alexa Skill we developed with Drizly for Miller Lite is a good example of how Dialogue can help brands build a conversational customer experience, supercharged by our stack of technology partners with best-in-class solutions and an insights engine that extracts business intelligence from conversational data.

If you’d like to learn more about how to effectively reach consumers on conversational interfaces, or to leverage the Lab’s expertise to take on related client opportunities within the IPG Mediabrands, please contact our Client Services Director Samantha Holland ([email protected]) to schedule a visit to the Lab.

 

MWC 2017: Olay Debuts AI-Powered Skin Adviser Platform

What Happened
P&G’s skincare brand Olay made their debut at the Mobile World Congress in Barcelona earlier today to celebrate the global launch of its Olay Skin Advisor platform. Available via Olay’s mini-site, the web-based skin analytics platform leverages artificial intelligence and deep learning to provide skin analysis and personalized product recommendations delivered right on their mobile phones or tablets.

With just one selfie, Skin Advisor can analyze a woman’s face to determine her skin age and the main areas she needs to focus on. The platform will also prompt her to answer a short series of questions on personal skin concerns and product preferences before offering a personalized recommendation on suitable products and skincare regimen based on their needs and preferences.

The global launch of Olay Skin Advisor also means a series of upgrades to the platform in the United States, where a 1.0 beta version has been live since late 2016. The upgraded Olay Skin Advisor 2.0, will launch in the US in mid-March.

What Brands Need To Do
More and more beauty brands are incorporating mobile touchpoints into their customer journey. On the mobile AR front, L’Oreal’s Makeup Genius app and Covergirl’s BeautyU app are both good examples of how beauty brands can leverage the advanced capabilities of smartphones, especially the ease of image input via the phone’s camera, to provide extra utility for the customers. In addition, the kind of personalized user experience and product recommendations that AI can offer based on data and user input is also valuable for brands. Brand marketers need to consider how they can use their customer data to provide personalized experiences with the help of an AI engine.

How We Can Help
The Lab has extensive experience working with beauty brands to create and implement digitally enhanced retail experiences. The recently-opened NYX Cosmetics store at Union Square is a proud showcase of our team’s work in this space and elevated NYX as one of the most innovative digital beauty brands of 2016 named by WWD. If you’d like to learn more about how your brand can develop and implement digital-driven solutions to modernize your beauty retail experience, please contact our Client Services Director Samantha Holland ([email protected]) to schedule a visit to the Lab.

 


Source: Business Wire

Header images are promotional image from Olay’s press release

 

MWC 2017: The AI-Powered, Connected Cars Of The Future

What Happened
Monday marks the first day of the 2017 Mobile World Congress (MWC), the world’s leading smartphone trade show. As with the previous years, a slew of new mobile and portable gadgets are introduced, and the Lab team is on the ground in Barcelona, Spain, scouting for the latest trend in mobile technologies. Today, however, it is the futuristic smart cars, not the shiny new phones, that stole the show.

Ford announced a partnership with Vodafone at its press event that will lead to 4G modems being built into a select range of its upcoming vehicles in the European market. The modem will bring 4G LTE connectivity over Wi-Fi, with up to ten devices able to connect at once, effectively turning those Ford models into a media hub on wheels.

Moving beyond connectivities for existing models, Roborace drew a lot of eyeballs at the Mobile World Congress today with a stunning self-driving race car. The British company behind the robot racing series unveiled Robocar, the world’s first AI-powered, self-driving electric race car. Powered by Nvidia’s Drive PX2, an open A.I. car computing platform, the Robocar can reach an impressive top speed of 199 miles per hour.

French automaker Peugeot took the AI solution one step further with the debut of its Instinct concept car, an autonomous car designed to drive differently according to reading your mood and needs. The car is connected to Samsung’s Artik cloud service, allowing it to gather data from other connected devices, such as your calendar schedule or your heartbeat rate from a smartwatch, in order to determine between four driving modes: drive boost, drive relax, autonomous soft, and autonomous sharp, to provide the most suitable driving experience.

What Brands Need To Do
In line with what we saw two month ago at this year’s CES, major advances in AI and machine learning has supercharged the race of developing autonomous cars among automakers this year. For brand marketers, AI is what will power the future of brand-customer interactions as the core of the post-smartphone computing. AI evolution is set to bring an influx of additional media time once self-driving cars can free our eyes from the road. While it is still a few years off till the technology fully matures, it is never too early for brands to start thinking about how to conquer this new media space.

Another important capability that AI will unleash for all brands lies in dynamic creatives that can deliver personalized user experience based on data and user input. Brand marketers need to consider how they can leverage their customer data to provide personalized experiences with the help of an AI engine.

 


Sources: as linked in the article

1-800 Flowers Tests Concierge Chatbot Powered By IBM’s Watson

What Happened
1-800 Flowers has jumped into the world of conversational commerce with a concierge service that recommends flowers based on user input. Dubbed “Gwyn,” which stands for “gifts when you need,” the service is powered by IBM’s Watson cloud computing services, which allows it to understand natural languages and respond accordingly.

The e-retailer first started testing Gwyn last May with a limited beta test, and has since updated the service to make the interface more conversational and user-friendly before rolling it out on its website to all customers to try. The company also launched a Facebook chatbot last April, which was mostly manned by human customer reps but has since graduated to handling some basic customer service tasks on its own.

What Brands Need To Do
This is the latest in an ongoing trend of brands tapping machine learning and AI services such as IBM’s Watson to enhance customer experience. Previously, Sony Pictures launched an AI-powered chatbot to promote its new Residential Evil flick while P&G tested a smart shelf that uses machine learning to monitor and analyze shopper behaviors. As consumers continue to embrace messaging apps and chatbot services, brands need to consider developing useful bots powered by AI services to engage customers.

How We Can Help
Based on our extensive experience in building branded chatbots to reach consumers, the Lab has developed a dedicated conversational practice called Dialogue. The NiroBot we built in collaboration with Ansible for Kia is a good example of how Dialogue can help brands build a chatbot experience supercharged by our stack of technology partners with best-in-class solutions and an insights engine that extracts business intelligence from conversational data. If you’re interested in learning more about this or have a client opportunity, please reach out to our Client Services Director Samantha Holland ([email protected]) to schedule a visit to the Lab.

 


Source: Digiday