VentureBeat has issued an ethics statement. Does Wiggers stand by it? In a recent article, Wiggers defended the company’s ethics statements. In another article, Wiggers supported blockchain technology and AI. While some investors may find Wiggers’ writing on artificial intelligence to be controversial, they should be aware of the ethical responsibilities of journalists in this industry.
Wiggers writes about artificial intelligence
TechCrunch’s senior staff writer, Kyle Wiggers, is interested in the potential impact of artificial intelligence, including its use for predicting future behavior. He has written about AI for a variety of tech publications, including TechCrunch, Digital Trends, and VentureBeat. Wiggers lives in New York City with his partner. He also dabbles in piano.
Artificial intelligence is the creation of programs that can understand language and make decisions. They are not created to replace humans, but they can mimic some of the processes we use to make decisions and create new works of art. Machine learning computer programs use a built-in algorithm, which can learn from the programmers and make decisions on their own.
Wiggers stands behind VentureBeat’s ethics statement
Kyle Wiggers, who writes about artificial intelligence for VentureBeat, is a proponent of the firm’s ethics statement. Wiggers is a New York City-based writer who stands behind this statement. Facebook is committed to building a robust AI model by relying on distributed human workers.
Wiggers writes about blockchain technology
Using blockchain technology is a great way to decentralize your financial transactions. The main advantage of this technology is that it can speed up transactions. Blockchain transactions are completed in less than 10 minutes. This is especially useful when arranging cross-border trades where time zones can cause delays.
Blockchains are essentially a decentralized database of public information. These databases are linked together with a series of checks and balances that can create trust among users. It can also be thought of as the next-generation business process improvement software. It promises to make business processes faster and easier for companies to conduct transactions and to lower the “cost of trust”. Its decentralized nature also makes it flexible enough for other industries as well.
That’s why in 2013 Andrew Boni, who worked at Google on AdSense, teamed up with former Twitter engineer Justin Zhu to found Iterable, a startup developing a platform that enables brands to create, execute, and optimize cross-channel campaigns. Iterable’s tools leverage big data analytics to analyze users’ behavior and optimize the time, channel, and frequency to engage with them. The tools automatically suss out the best time for conversion — gleaned through event data — and designate the channels users are most likely to convert in.
“Iterable was built to give every marketer, regardless of technical skill or business size, the opportunity to build meaningful relationships with their customers. The platform is designed to enable anyone with the will to reach customers a way to actually reach them,” a spokesperson told VentureBeat via email. “The brands that are winning in this post-pandemic world are the ones that made the jump to digital — and are able to continue meeting rapidly expanding and evolving customer expectations. Iterable, having already adopted the digital- forward and customer-first ethos, helped our customers evolve — and continue to connect with customers — during the uncertainty of the pandemic.”
From Iterable’s dashboard, marketing managers can orchestrate welcome campaigns and trials, targeted sales, promotions, and product updates across mail, mobile push, SMS, in-app, web push, and direct mail channels. They’re able to deploy cart abandonment flows and define rules-based triggers that kick off post-purchase, as well as renewal sequences. Using Iterable, salespeople can also build cross-channel segments with drag-and-drop filters and schedulers.
An analysis module called Iterable Insights lets clients drill down into real-time user, behavioral, and event data from up to millions of people. Marketers can measure and fine-tune campaigns with an experimentation and A/B testing tool, dynamically segmenting customers, thanks to support for profiles spanning hundreds of demographic and custom event data fields.
Iterable also offers a feature called sent time optimization (STO), an AI-powered sending tool that automatically determines the time to send an email for engagement based on a user’s historical behavior. Analyzing patterns in historical open and click behavior, STO personalizes the send time of an email for each recipient, aiming to reach their inbox when they’re most likely to engage.
Over 300 customers have used STO to send more than 2 billion messages from more than 100,000 campaigns, according to Iterable.
“At Iterable, our goal is to strengthen the relationship between brands and their customers by empowering marketers to create personalized and inclusive digital experiences. An important component of this relationship-building — and a top priority for customers — is trust and transparency,” Boni told VentureBeat via email. “To make memorable and personalized experiences possible while building trust, first- and zero-party data are more important than ever. This type of data has always been a priority for our product, and at the core of Iterable’s mission and values, and in light of recent regulations and restrictions around third-party data, brands need to learn the utility of this data so they can [use] it strategically, for the benefit of their business and audience. There’s a gap in the market for a company that can harness and deploy the power of customer data and complement, not replace, the work of today’s marketers.”
When surveyed 1,500 executives across industries and regions in 2018, 66% said addressing skills gaps related to automation and digitization was a “top 10” priority. And in its recent Trends in Workflow Automation report, Salesforce found that 95% of IT leaders are prioritizing workflow automation technologies like chatbots, with 70% seeing the equivalent of more than four hours of savings per employee each week.
But despite the fierceness of the competition, Iterable has made a name for itself, attracting over 800 customers, including DoorDash, Fender, Calm, Box, and Cars.com. The company says it plans to expand its workforce from 450 employees to 600 by the end of the year.
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