Share on facebook
Share on linkedin
Share on twitter
Share on facebook
Share on linkedin
Share on twitter

How Businesses Can Get AI Head Start With AlaaS

While artificial intelligence (AI) often dominates business and technology headlines these days, the coverage generally centers on the development of the technology. Yet for all the celebration around AI, the main concern for enterprises is still how they can get started with the technology, in order to generate actionable insights from their data.

Large technology-oriented organizations tend to build their own in-house data science team, which might not be the best approach for smaller companies with less resource or technical expertise. This is where AI-as-a-Service (AIaaS) could just be your alternative passage to AI-powered business.

 

In-House Data Science Team Is Not for Everyone

Although data science is one of the most in-demand professions worldwide, companies are facing a massive talent gap: There are more positions to fill than there are qualified data scientists available to fill them. Quality data scientists require a wide range of skills, which sometimes could vary depending on the nature of data to be analyzed and the scale and scope of work.

Apart from finding the right talent with the right expertise, recruiting them usually involves high salary, additional benefits, perks and a host of other incentives, as you might be competing with some of the best brands around the world.

Even if you invest in building a data science team, some of the roles may end up becoming obsolete. As AI continues to advance, data scientists are required to evolve as well. There will be an increasing trend towards both machine learning engineers and deep learning scientists, who can program AI to self-learn, which may set off another arm’s race for top talent.

Given the above challenges, companies can consider AIaaS as a fast lane to AI adoption for business.

 

AI off the Shelf

AI-as-a-Service is similar to the Software-as-a-Service (SaaS) from which its name derives. Businesses turn to SaaS providers for web-based software. In much the same way, enterprises can leverage AIaaS providers’ off-the-shelf AI tools and services for various needs, such as optimizing once-inefficient processes and saving on operating costs.

While adopting AI technology through AIaaS can help streamline your operation, it also allows you to focus on other core business functions, such as product development, marketing and sales, to make a significant impact on your business goals. For example, AI-powered customer segmentation and prediction enables you to understand customers more intimately, in order to offer a more engaging user experience, drive conversion and minimize customer churn.

“Although AI is being used to predict customer behavior to some extent, it will get a boost in the future. Businesses will use AI to detect if a customer is willing to purchase the product, seeking support or switching to another provider even before they actually approach,” said Liam Martin, Co-founder of Time Doctor, in The Next Web.

Estée Lauder, for example, wanted to raise brand awareness among young women online and drive mailing list sign-ups across all screens. It leveraged Appier’s CrossX AI technology to nurture and build a high value audience pool, effectively boosting cross-screen conversion by 300% to 1100%.

There are other benefits that companies turning to different AIaaS providers for their AI needs may experience, such as achieving insights and breakthroughs in data that humans may have overlooked, improving customer service through chatbots that are available around the clock, or helping protect their customer data through the use of smart contracts.

 

Finding the Right AIaaS Partner

Before you start a hunt for an AIaaS partner, you first need to identify the most valuable problem in your business that can be improved with AI, and what specific outcome you are trying to achieve.

With an increasing number of AIaaS providers available in the market, there are always basic questions to ask before you deciding on one, such as how they will harness your data or work with your own IT team. In addition, to ensure a smoother start, you also want to see whether the graphic user interface of the provider’s platform is easy to understand and navigate.

Look for evidence of the provider’s track record in the space. Successful AIaaS providers should be able to present you with case studies, research, reports, industry recognition and testimonials. When evaluating these materials, you will be able to see if they have successfully addressed the needs of enterprises with problems similar or even identical to your own.

Once you find your trusted AIaaS provider and go through their onboarding and integration process, you are set. You can begin optimizing, understanding, analyzing and predicting with precision and scale like never before.

WE ARE HERE TO HELP

Let us know the marketing challenges that you’re facing, and how you want to improve your marketing strategy.

YOU MIGHT ALSO LIKE

Catch the Right Audience for Your Next Product Launch

For any marketer, one of the first and most critical steps in any successful new product launch is identifying the right audience. Rather than relying on demographics and guesswork, leveraging artificial intelligence (AI) can help you find the prospects with the highest potential to convert among your existing customers, and beyond. During a new product launch the pressure is on. Not only do you need to come up with a sound marketing plan, you also need to work within a budget and demonstrate good ROI. Before you get into the detail and tactics, the first and most important step in any product launch campaign is identifying the right audience – the potential customers most likely to engage with and buy your new product. This is typically done by figuring out the ideal audience profile for your product. For example, if you are launching a new top range razor, you might narrow your audience down to males, aged 25-45, who like personal grooming and have a high disposable income. However, by talking this generalized approach it is hard to guarantee, with any level of certainty, who in this group will engage with or buy your product. In addition, if you only

Pinpoint Your Best Travel Audience With Precision

Consumer behavior in travel is increasingly fragmented, and that has resulted in the tsunami of data, which can be overwhelming for marketers. By leveraging artificial intelligence (AI), however, you can segment your audience beyond the traditional parameters to build a more accurate portrait of them as individuals, and to see which are more valuable to your end goals.   Finding the Best Audience for Your Goal AI can find hidden user patterns that have a positive or negative impact towards achieving a predetermined end goal that you want to achieve, be it finding the more-likely-to-book audience segment to drive sales volume, or offering an existing customer a personalized tour package catering to his or her interest. The traditional way of doing this is by considering three dimensions – demography, historic online behavior on your owned channels and interests – which can be quite accurate, but a lot of it is guesswork. It also only allows you to reach limited consumers with purchase intentions, whereas AI has the added value of finding all prospects that will likely meet the goals defined by marketers, whether it’s making a purchase or signing up newsletters. AI also eliminates the guesswork. It considers many more

Introducing Josh Shozen as SVP of Enterprise Solution Sales for Appier Japan and South Korea

Author | Junde Yu, Chief Business Officer, Appier I’m excited to welcome Satoshi (Josh) Shozen to our team as Senior Vice President of Enterprise Solution Sales for Japan and South Korea. Based in Tokyo, Josh brings over 15 years’ experience in enterprise software sales management and digital marketing in Japan and the region where he has worked with global technology companies including Adobe, Proscape Technologies, and Microsoft. Before joining Appier, Josh was the country manager for SundaySky Japan, the creator of SmartVideo platform, and helped develop the strategic partner ecosystem for selling into major FSI and Automotive clients. In his new role, Josh will lead our teams in both countries to strengthen the business of Aixon, an AI-powered Data Intelligence Platform that Appier launched last July. More than 10 clients, including Japanese real estate portal LIFULL, have already successfully deployed Aixon and transformed their digital marketing campaigns. While we continuously upgrade technology for Aixon’s functionality to help our customers’ business success, such as the recent integration with LINE Business Connect, we also see the strong potential of our business in both the marketing and data intelligence platforms. With Josh on board, we are looking to accelerate our business in Japan