Linh C. Ho has held executive leadership roles for a number of global tech companies and currently serves as Chief Growth Officer at Zelros. It is no surprise that technology as ubiquitous as artificial intelligence (AI) would eventually require ethical guardrails. Just this past fall, the White House announced a Blueprint for an AI Bill of Rights. In it, the administration proposes a five-part framework for companies using automated systems in their operations: effective and safe systems; data privacy; protections against algorithmic discrimination; notice and explanation; and human alternatives, consideration and fallback. Together, the five principles in the Bill of Rights form an overlapping set of backstops--safeguards intended to help keep the American public free from any harm caused by the unchecked use of AI and other emerging technologies.

Marketers have used digital marketing to navigate through incredibly difficult business conditions, connecting with customers stuck at home during the pandemic, digitizing products and services, and driving revenues. Now, it’s time to build on those gains by redoubling their commitment to deepening data and digital mastery, building a culture of continuous learning and experimentation, and using insights to deliver personalized services to customers for higher ROI. Those willing to do so will outpace competitors, notching greater revenues and working more closely with the C-suite to drive business expansion.

Jim McHugh is the CEO of Mperativ, the revenue marketing platform that connects go-to-market strategy to the revenue operations engine. Today, there is greater demand than ever for better and more quantifiable connections between marketing budgets and how they drive business outcomes. Even with thousands of marketing technology products available, it has been difficult for them to clearly show the impact of marketing initiatives and spend on revenue outcomes, paving the way for new technologies to rise up to this challenge and create the future of marketing science. This year, we'll begin to see go-to-market teams establish a new realm of marketing science that brings together siloed data to quantify how marketing drives results, setting the stage for continuous, bitemporal data models that will unlock the true benefits of AI and ML for marketing. Connect marketing to revenue and predict business outcomes.

With supply chain challenges and the ongoing global pandemic regularly introducing new obstacles, sales and marketing professionals must continue to move at the speed of business regardless of where they currently work. According to McKinsey, our new way of working during the pandemic inspired ten years of digital innovation in three months. To ensure no opportunities are missed in this rapidly changing landscape, sales and marketing teams need data to unearth new, actionable insights that they can use to identify in-market prospects and customers at scale. Over three-fourths of CEOs say that marketing leaders are the key to driving future growth. But they can't do it alone – technology will be an essential component fostering that progression.

Monolith AI is a leading artificial intelligence engineering software company that is building the next generation in machine learning software. Founded by Imperial College London and NASA alum, Dr. Richard Ahlfeld, Monolith is helping companies--and their marketing leaders--design products of the future. I recently met with Richard to learn more about one of the biggest trends brands are turning to to revolutionize their product design--digital twin technology. Ahlfeld: "Before, a business' old data used to sit dormant in digital storage. Fast-forward to today and it's seen as one of the most valuable resources, and a major part of the design and testing process of any new product."

Artificial intelligence today plays a massive role in strengthening and transforming industries around the world. Many businesses fear they will invest in technology that will do them no good. However, a business's only path to technical progress is through risk and confrontation. If you had to choose between taking a risk or losing a competitive advantage in the market, what would it be? In this article, we'll go over all of the newest artificial intelligence statistics to help you determine if AI is right for your business's future.

In the post-Covid era, organizations are recalibrating their marketing strategies to make better use of data and analytics to stay ahead of the competition. Increasingly, it is the Chief Marketing Officer (CMO) who has to take the lead to drive digital adoption and become the organization's digital evangelist. Data is everywhere and the CMO is increasingly expected to use multiple sources of data analysis and marketing intelligence for growth and revenue. Customer buyer journeys changed significantly during the pandemic: Buyers prefer to undertake a self-education journey, learning about the product rather than engaging with a salesperson right from the start. This puts the onus on marketers to provide prospective customers with the right content at the right time via the right channel.

New research from AI content generation and decisioning platform Persado, which aims to unlock the value of the right words at every customer interaction, provides insights on CMOs' perceptions of their company's readiness, and best practices for applying AI to an area of business that receives significant time, energy, and investment: the creative process. The firm's newly released report, 2021 State of AI and Creativity, surveyed more than 400 chief marketing officers and senior marketing leaders, and found a growing trend to leverage AI and machine learning in new ways to deliver more effective messages to prospects and customers. Key findings of the survey from U.S. respondents include: "Marketers have been leveraging technology to gain insights and improve performance across their portfolios for many years--applying AI to targeting and segmentation, marketing mix optimization, promotions and discounts, and dynamic pricing," said Amy Heidersbach, chief marketing officer of Persado, in a news release. "But how to optimize creative at scale has largely remained a blind spot for data-driven, digital-first companies. Now, it's clear that marketing leaders are turning their attention toward creative to unlock new sources of value--replacing human-only guesswork with human-plus-machine certainty."

Persado's 2021 State of AI and Creativity Survey highlights the growing importance of technology to generate and deliver more predictive, personalized creative that can be directly attributed to business outcomes NEW YORK–(BUSINESS WIRE)–#AI–Persado, the leading AI content generation and decisioning platform that unlocks the value of the right words at every customer interaction, today announced the results of a first-of-its kind survey: 2021 State of AI and Creativity. More than 400 chief marketing officers and senior marketing leaders were asked to provide input on their company's readiness, and on best practices for applying AI to an area of business that receives significant time, energy, and investment: the creative process. The survey found a growing trend among senior marketing leaders to leverage AI and machine learning in new ways to deliver more effective messages to prospects and customers. Key findings of the survey from U.S. respondents include: "Marketers have been leveraging technology to gain insights and improve performance across their portfolios for many years – applying AI to targeting and segmentation, marketing mix optimization, promotions and discounts, and dynamic pricing," says Amy Heidersbach, Chief Marketing Officer of Persado. "But how to optimize creative at scale has largely remained a blind spot for data-driven, digital-first companies. Now, it's clear that marketing leaders are turning their attention toward creative to unlock new sources of value – replacing human-only guesswork with human-plus-machine certainty."

A lack of artificial intelligence and machine learning usage in digital marketing is causing a significant issue for marketers looking to deliver personalised experiences to customers, according to Gartner. In its new report, the analyst firm revealed that almost two-thirds (63%) of digital marketers struggle with this issue, from a survey of 350 marketing leaders from November 2020 through December 2020. One of the main problems is that digital marketing leaders are scaling their use of AI and ML to align with customer retention and acquisition goals rather than across the marketing function. This contrasts with another statistic: 84% of digital marketing leaders believe using AI/ML enhances the marketing function's ability to deliver real-time, personalised experiences to customers. Gartner says many digital marketers believe bringing automation, scale and efficiency to marketing activities across channels is the greatest value of AI/ML tools. "A comprehensive personalisation strategy and roadmap can be deciding factors in the results marketers achieve from their personalisation efforts, yet most marketing organisations lack an effective personalisation strategy – let alone one that is explicitly linked to desired business and customer goals," says Gartner for Marketers vice president analyst Noah Elkin.