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."
One of the striking trends during the pandemic has been the acceptance of automation technologies by a previously tepid public. Retail in particular has accelerated development of automation, including robotics, which will result in a quick rollout over the next few years. A new survey by RetailWire and Brain Corp, an artificial intelligence (AI) company creating core technology in robotics, including cleaning robots, supports the conclusion that COVID-19 has hastened automation development and adoption. Robots used for tasks such as floor cleaning and shelf scanning, both in stores and in warehouses, are selling briskly, and sentiment among retailers broadly supports adoption. The survey results are included in an executive summary available online, "Robots in Retail: Examining the Autonomous Opportunity."
Register for a free or VIP pass today. "Offensive AI" will enable cybercriminals to direct attacks against enterprises while flying under the radar of conventional, rules-based detection tools. That's according to a new survey published by MIT Technology Review Insights and Darktrace, which found that more than half of business leaders believe security strategies based on human-led responses are failing. The MIT and Darktrace report surveyed more than 300 C-level executives, directors, and managers worldwide to understand how they perceive the cyberthreats they're up against. A high percentage of respondents (55%) said traditional security solutions can't anticipate new AI-driven attacks, while 96% said they're adopting "defensive AI" to remedy this.
AI offers an intriguing solution to remote worker engagement. How do you know if remote employees are engaged and happy? Do your remote teams have the dynamics that fuel success? Does your vision for your company culture align with how it plays out in real life? Artificial intelligence (AI) is taking the guesswork out of the equation.
Artificial intelligence/machine learning (AI/ML) has the potential to generate huge business value for semiconductor companies at every step of their operations, from research and chip design to production through sales. But our recent survey of semiconductor-device makers shows that only about 30 percent of respondents stated that they are already generating value through AI/ML. Notably, these companies have made significant investments in AI/ML talent, as well as the data infrastructure, technology, and other enablers, and have already fully scaled up their initial use cases. The other respondents--about 70 percent--are still in the pilot phase with AI/ML and their progress has stalled. We believe that the application of AI/ML will dramatically accelerate in the semiconductor industry over the next few years. Taking steps to scale up now will allow companies to capture the full benefits of these technologies. This article focuses on device makers, including integrated device manufacturers (IDMs), fabless players, foundries, and semiconductor assembly and test services, or SATS (for more information on our research, see sidebar, "Our methodology").
When it comes to digital marketing, AI plays a pivotal role, and it's proving to be an excellent tool for upgrading your email marketing strategies. In fact, it's very safe to say that artificial intelligence is fundamentally reshaping email marketing. Currently, 87 percent of current AI users said they are now using or are considering using it for sales forecasting and email marketing enhancement. There is good reason to join them though, and below, we explore seven ways that artificial intelligence is reshaping email marketing. Automation has quickly become a staple in email marketing.
Every year in December and January, NewVantage Partners (NVP) conducts a survey of data and technology executives in large companies primarily located in the U.S. Every year, we (the authors) collaborate in analyzing and interpreting the results. And every year, we wonder why the survey results suggest that certain aspects of the data environment aren't getting better faster, or why they sometimes even become worse. The executives are usually pretty bullish about technology but quite bearish regarding whether their organizations are becoming more data-driven. They also express concerns about the executive roles -- most frequently, the role of chief data officer (CDO) -- that are charged with making their company's data environment better. Get monthly email updates on how artificial intelligence and big data are affecting the development and execution of strategy in organizations.
Earlier this month, a high-level, congressionally mandated commission released its long-awaited recommendations for how the United States should approach artificial intelligence (AI) for national security. The recommendations were part of a nearly 800-page report from the National Security Commission on AI (NSCAI) that advocated for the use of AI but also highlighted important conclusions on key risks posed by AI-enabled and autonomous weapons, particularly the dangers of unintended escalation of conflict. The commission identified these risks as stemming from several factors, including system failures, unknown interactions between these systems in armed conflict, challenges in human-machine interaction, as well as an increasing speed of warfare that reduces the time and space for de-escalation. These same factors also contribute to the inherent unpredictability in autonomous weapons, whether AI-enabled or not. From a humanitarian and legal perspective, the NSCAI could have explored in more depth the risks such unpredictability poses to civilians in conflict zones and to international law.
Artificial Intelligence (AI) is revolutionizing enterprise and consumer technology as we know it, but few industries have made strides as significant as healthcare and life sciences. With its growing applications in the field, NLP is empowering hospitals, health systems, and businesses alike to accelerate research and care. From accelerating clinical trial recruitment and vaccine development, to detecting potentially life-threatening adverse drug events and forecasting hospital gridlock/staffing demands, AI is making an impact beyond the headlines. Even in its infancy, the global AI in healthcare market size and investments in AI technologies, like Natural Language Processing (NLP), have experienced significant growth, even in the wake of pandemic-driven budget cuts. This trajectory is exciting to watch and expected to continue over the next several years, as we've only scratched the surface of AI's potential.
Rackspace Technology just announced the results of a global survey that reveals that the majority of organizations lack the internal resources to support critical AI and machine learning initiatives. Indeed, 34% of respondents reported artificial intelligence projects that failed. The larger issue is the misapplication of AI and ML for applications where these particular technologies are contraindicated. This has been a problem since the advent of neural networks and AI, which is much longer than you think. AI on public clouds is just too easy and cheap not to leverage, so it's being used with business applications where the process of learning or finding patterns is not a requirement. When AI is the shiny new hammer, every application looks like a nail.