Since its launch in May 2023, Amperity for Paid Media has used industry-leading ad connectors and first-party data to deliver more than 11 billion unified customer profiles each day. These are delivered to the ad platforms of Amperity customers, across a range of industries, including retail, quick-serve restaurants (QSR), consumer packaged goods (CPG), travel and hospitality, sports teams and leagues, and financial services.

Marketers and digital agencies continue to struggle to find a way to measure digital and in-store transactions to deliver highly personalized campaigns and optimize their budget spend – which is where Amperity excels. Brands using Amperity for paid media are experiencing the following results:

• 3X conversion rate using unified customer profile lookalike audiences over third-party audiences
• 85%+ match rate across major ad platforms
• 30% onboarding savings
• 5x increase in ROAS (Return on Ad Spend)
• 94% savings in data management and stitch processing
• 70%+ reduction in marketing timelines

The elimination of third-party cookies and the ever-changing data privacy laws have ushered in a new era of challenges and opportunities. The days of relying solely on legacy methods to identify, retain, and acquire customers are gone. To stay ahead of the game and ensure brands are getting the most out of their largest spend channels, it’s critical that brands tap into their first-party customer data to maximize every campaign dollar, especially in this macroeconomic climate.

“Today, we find ourselves at the epicentre of a marketing revolution. The tides have shifted and the old ways of acquiring and retaining customers are giving way to a new era of data privacy and consumer-centricity,” said Barry Padgett, CEO at Amperity. “In Q1 of next year, Google is going to disable 1% of third-party cookies and fully remove them by Q3. This poses a massive challenge for brands across the board. But within this challenge lies immense opportunity. At Amperity, we’ve taken it upon ourselves to lead the charge and help brands and agencies navigate this shift.”

To quantify the impact Amperity is having on paid media, the company commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential ROI enterprises may realize by deploying its CDP. To construct the TEI study, Forrester interviewed five Amperity customers, identifying the benefits, risks, and outcomes experienced while using the company’s customer data platform for paid media and combined the results to form a single composite organization. According to the study, the composite organization not only experienced a 505% ROI but also experienced the following benefits over three years:

• $3.4 million incremental increase in net operating revenue from effective messaging
• $3.8 million incremental increase in net operating revenue due to targeted paid media spend
• 25% increase in productivity impact of more efficient campaign preparation and execution resulting in $1.3 million savings
• $4.5 million savings in paid media spend from deduplicating customer records

Amperity has become the customer data platform of choice for leading brands across numerous industries, most recently selected by First Hawaiian Bank, Forever 21, Palace Resorts, Shiseido America, and Virgin Atlantic. These brands join longtime users of Amperity including Alaska Airlines, Brooks, DICK’s Sporting Goods, Reckitt, Seattle Sounders, SPARC Group, and Wyndham Hotels & Resorts.

To learn more about the ROI of Amperity for paid media, download the latest TEI study here.

(Editor’s note: This article is sponsored by Amperity)

The post Customer adoption of Amperity for paid media soars to over 50% appeared first on AI News.

The result of the collaboration is the Siemens Industrial Copilot, a powerful AI assistant designed to enhance collaboration between humans and machines in the manufacturing sector. The tool enables rapid generation, optimisation, and debugging of complex automation code, significantly reducing simulation times from weeks to minutes.

At the core of this collaboration is the integration of Siemens Industrial Copilot with Microsoft Teams, connecting design engineers, frontline workers, and various teams across business functions. This integration simplifies virtual collaboration, empowering professionals with new AI-powered tools and simplifying tasks that previously required extensive time and effort.

Empowering industries with Generative AI

Satya Nadella, Chairman and CEO of Microsoft, expressed the immense potential of this collaboration, stating: “With this next generation of AI, we have a unique opportunity to accelerate innovation across the entire industrial sector.”

Siemens CEO Roland Busch echoed this sentiment; emphasising the revolutionary impact on design, development, manufacturing, and operations.

The companies envision AI copilots becoming integral in industries such as manufacturing, infrastructure, transportation, and healthcare.

Schaeffler AG – a leading automotive supplier – is already embracing generative AI, enabling engineers to generate reliable code for industrial automation systems. Siemens Industrial Copilot will work to reduce downtimes.

Facilitating virtual collaboration

To facilitate virtual collaboration, Siemens and Microsoft are launching Teamcenter for Microsoft Teams; an application that utilises generative AI to connect functions across the product design and manufacturing lifecycle.

This integration will allow millions of workers who previously lacked access to Product Lifecycle Management (PLM) tools to contribute seamlessly to the design and manufacturing processes.

The collaboration between Microsoft and Siemens looks set to be an excellent case study of how AI empowers industries and professionals, revolutionising traditional workflows and fostering global innovation.

(Photo by Sezer Arslan on Unsplash)

See also: Bob Briski, DEPT®:  A dive into the future of AI-powered experiences

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with IoT Tech Expo and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Microsoft and Siemens revolutionise industry with AI-powered Copilot appeared first on AI News.

The order establishes stringent standards for AI safety and security, safeguards Americans’ privacy, promotes equity and civil rights, protects consumers and workers, fosters innovation and competition, and enhances American leadership on the global stage.

Key actions outlined in the order:

1. New standards for AI safety and security: The order mandates that developers of powerful AI systems share safety test results and critical information with the U.S. government. Rigorous standards, tools, and tests will be developed to ensure AI systems are safe, secure, and trustworthy before public release. Additionally, measures will be taken to protect against the risks of using AI to engineer dangerous biological materials and combat AI-enabled fraud and deception.
2. Protecting citizens’ privacy: The President calls on Congress to pass bipartisan data privacy legislation, prioritizing federal support for privacy-preserving techniques, especially those using AI. Guidelines will be developed for federal agencies to evaluate the effectiveness of privacy-preserving techniques, including those used in AI systems.
3. Advancing equity and civil rights: Clear guidance will be provided to prevent AI algorithms from exacerbating discrimination, especially in areas like housing and federal benefit programs. Best practices will be established for the use of AI in the criminal justice system to ensure fairness.
4. Standing up for consumers, patients, and students: Responsible use of AI in healthcare and education will be promoted, ensuring that consumers are protected from harmful AI applications while benefiting from its advancements in these sectors.
5. Supporting workers: Principles and best practices will be developed to mitigate the harms and maximise the benefits of AI for workers, addressing issues such as job displacement, workplace equity, and health and safety. A report on AI’s potential labour-market impacts will be produced, identifying options for strengthening federal support for workers facing labour disruptions due to AI.
6. Promoting innovation and competition: The order aims to catalyse AI research across the US, promote a fair and competitive AI ecosystem, and expand the ability of highly skilled immigrants and non-immigrants to study, stay, and work in the US to foster innovation in the field.
7. Advancing leadership abroad: The US will collaborate with other nations to establish international frameworks for safe and trustworthy AI deployment. Efforts will be made to accelerate the development and implementation of vital AI standards with international partners and promote the responsible development and deployment of AI abroad to address global challenges.
8. Ensuring responsible and effective government adoption: Clear standards and guidelines will be issued for government agencies’ use of AI to protect rights and safety. Efforts will be made to help agencies acquire AI products and services more rapidly and efficiently, and an AI talent surge will be initiated to enhance government capacity in AI-related fields.

The executive order signifies a major step forward in the US towards harnessing the potential of AI while safeguarding individuals’ rights and security.

“As we advance this agenda at home, the Administration will work with allies and partners abroad on a strong international framework to govern the development and use of AI,” wrote the White House in a statement.

“The actions that President Biden directed today are vital steps forward in the US’ approach on safe, secure, and trustworthy AI. More action will be required, and the Administration will continue to work with Congress to pursue bipartisan legislation to help America lead the way in responsible innovation.”

The administration’s commitment to responsible innovation is paramount and sets the stage for continued collaboration with international partners to shape the future of AI globally.

(Photo by David Everett Strickler on Unsplash)

See also: UK paper highlights AI risks ahead of global Safety Summit

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Biden issues executive order to ensure responsible AI development appeared first on AI News.

UK Prime Minister Rishi Sunak has spoken today on the global responsibility to confront the risks highlighted in the report and harness AI’s potential. Sunak emphasised the need for honest dialogue about the dual nature of AI: offering unprecedented opportunities, while also posing significant dangers.

“AI will bring new knowledge, new opportunities for economic growth, new advances in human capability, and the chance to solve problems we once thought beyond us. But it also brings new dangers and new fears,” said Sunak.

“So, the responsible thing for me to do is to address those fears head-on, giving you the peace of mind that we will keep you safe while making sure you and your children have all the opportunities for a better future that AI can bring.

“Doing the right thing, not the easy thing, means being honest with people about the risks from these technologies.”

The report delves into the rapid advancements of frontier AI, drawing on numerous sources. It highlights the diverse perspectives within scientific, expert, and global communities regarding the risks associated with the swift evolution of AI technology. 

The publication comprises three key sections:

1. Capabilities and risks from frontier AI: This section presents a discussion paper advocating further research into AI risk. It delineates the current state of frontier AI capabilities, potential future improvements, and associated risks, including societal harms, misuse, and loss of control.
2. Safety and security risks of generative AI to 2025: Drawing on intelligence assessments, this report outlines the potential global benefits of generative AI while highlighting the increased safety and security risks. It underscores the enhancement of threat actor capabilities and the effectiveness of attacks due to generative AI development.
3. Future risks of frontier AI: Prepared by the Government Office for Science, this report explores uncertainties in frontier AI development, future system risks, and potential scenarios for AI up to 2030.

The report – based on declassified information from intelligence agencies – focuses on generative AI, the technology underpinning popular chatbots and image generation software. It foresees a future where AI might be exploited by terrorists to plan biological or chemical attacks, raising serious concerns about global security.

Sjuul van der Leeuw, CEO of Deployteq, commented: “It is good to see the government take a serious approach, offering a report ahead of the Safety Summit next week however more must be done.

“An ongoing effort to address AI risks is needed and we hope that the summit brings much-needed clarity, allowing businesses and marketers to enjoy the benefits this emerging piece of technology offers, without the worry of backlash.”

The report highlights that generative AI could be utilised to gather knowledge on physical attacks by non-state violent actors, including creating chemical, biological, and radiological weapons.

Although companies are working to implement safeguards, the report emphasises the varying effectiveness of these measures. Obstacles to obtaining the necessary knowledge, raw materials, and equipment for such attacks are decreasing, with AI potentially accelerating this process.

Additionally, the report warns of the likelihood of AI-driven cyber-attacks becoming faster-paced, more effective, and on a larger scale by 2025. AI could aid hackers in mimicking official language, and overcome previous challenges faced in this area.

However, some experts have questioned the UK Government’s approach.

Rashik Parmar MBE, CEO of BCS, The Chartered Institute for IT, said: “Over 1,300 technologists and leaders signed our open letter calling AI a force for good rather than an existential threat to humanity.

“AI won’t grow up like The Terminator. If we take the proper steps, it will be a trusted co-pilot from our earliest school days to our retirement.

The AI Safety Summit will aim to foster healthy discussion around how to address frontier AI risks, encompassing misuse by non-state actors for cyberattacks or bioweapon design and concerns related to AI systems acting autonomously contrary to human intentions. Discussions at the summit will also extend to broader societal impacts, such as election disruption, bias, crime, and online safety.

Claire Trachet, CEO of Trachet, commented: “The fast-growing nature of AI has made it difficult for governments to balance creating effective regulation which safeguards the interest of businesses and consumers without stifling investment opportunities. Even though there are some forms of risk management and different reports coming out now, none of them are true coordinated approaches.

“The UK Government’s commitment to AI safety is commendable, but the criticism surrounding the summit serves as a reminder of the importance of a balanced, constructive, and forward-thinking approach to AI regulation.”

If the UK Government’s report is anything to go by, the need for collaboration around proportionate but rigorous measures to manage the risks posed by AI is more imperative than ever.

The global AI Safety Summit is set to take place at the historic Bletchley Park on 1 – 2 November 2023.

(Image Credit: GOV.UK)

See also: BSI: Closing ‘AI confidence gap’ key to unlocking benefits

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post UK paper highlights AI risks ahead of global Safety Summit appeared first on AI News.

At the core of DEPT®’s approach is the strategic utilisation of large language models. Briski articulated the delicate balance between the ‘pioneering’ and ’boutique’ ethos encapsulated in their tagline, “pioneering work on a global scale with a boutique culture.”

While ‘pioneering’ and ’boutique’ evokes innovation and personalised attention, ‘global scale’ signifies the broad outreach. DEPT® harnesses large language models to disseminate highly targeted, personalised messages to expansive audiences. These models, Briski pointed out, enable DEPT® to comprehend individuals at a massive scale and foster meaningful and individualised interactions.

“The way that we have been using a lot of these large language models is really to deliver really small and targeted messages to a large audience,” says Briski.

However, the integration of AI into various domains – such as retail, sports, education, and healthcare – poses both opportunities and challenges. DEPT® navigates this complexity by leveraging generative AI and large language models trained on diverse datasets, including vast repositories like Wikipedia and the Library of Congress.

Briski emphasised the importance of marrying pre-trained data with DEPT®’s domain expertise to ensure precise contextual responses. This approach guarantees that clients receive accurate and relevant information tailored to their specific sectors.

“The pre-training of these models allows them to really expound upon a bunch of different domains,” explains Briski. “We can be pretty sure that the answer is correct and that we want to either send it back to the client or the consumer or some other system that is sitting in front of the consumer.”

One of DEPT®’s standout achievements lies in its foray into the web3 space and the metaverse. Briski shared the company’s collaboration with Roblox, a platform synonymous with interactive user experiences. DEPT®’s collaboration with Roblox revolves around empowering users to create and enjoy user-generated content at an unprecedented scale. 

DEPT®’s internal project, Prepare to Pioneer, epitomises its commitment to innovation by nurturing embryonic ideas within its ‘Greenhouse’. DEPT® hones concepts to withstand the rigours of the external world, ensuring only the most robust ideas reach their clients.

“We have this internal project called The Greenhouse where we take these seeds of ideas and try to grow them into something that’s tough enough to handle the external world,” says Briski. “The ones that do survive are much more ready to use with our clients.”

While the allure of AI-driven solutions is undeniable, Briski underscored the need for caution. He warns that AI is not inherently transparent and trustworthy and emphasises the imperative of constructing robust foundations for quality assurance.

DEPT® employs automated testing to ensure responses align with expectations. Briski also stressed the importance of setting stringent parameters to guide AI conversations, ensuring alignment with the company’s ethos and desired consumer interactions.

“It’s important to really keep focused on the exact conversation you want to have with your consumer or your customer and put really strict guardrails around how you would like the model to answer those questions,” explains Briski.

In December, DEPT® is sponsoring AI & Big Data Expo Global and will be in attendance to share its unique insights. Briski is a speaker at the event and will be providing a deep dive into business intelligence (BI), illuminating strategies to enhance responsiveness through large language models.

“I’ll be diving into how we can transform BI to be much more responsive to the business, especially with the help of large language models,” says Briski.

As DEPT® continues to redefine digital paradigms, we look forward to observing how the company’s innovations deliver a new era in AI-powered experiences.

DEPT® is a key sponsor of this year’s AI & Big Data Expo Global on 30 Nov – 1 Dec 2023. Swing by DEPT®’s booth to hear more about AI and LLMs from the company’s experts and watch Briski’s day one presentation.

The post Bob Briski, DEPT®:  A dive into the future of AI-powered experiences appeared first on AI News.

This momentous agreement – signed in a ceremony at SK Seorin Building, Seoul – marks the culmination of discussions initiated by the Global Telco AI Alliance, a consortium launched in July 2023 by SK Telecom, Deutsche Telekom, E&, and Singtel.

This innovative partnership aims to create a telco-specific LLM that empowers global telcos to effortlessly and rapidly construct generative AI models. With a focus on multilingual capabilities (including German, English, and Korean), this LLM is designed to enhance customer services—particularly in areas like AI-powered contact centres.

Claudia Nemat, Member of the Board of Management for Technology and Innovation at Deutsche Telekom, said:

“AI shows impressive potential to significantly enhance human problem-solving capabilities.

To maximise its use, especially in customer service, we need to adapt existing large language models and train them with our unique data. This will elevate our generative AI tools.”

The collaboration also involves key AI industry players, such as Anthropic (Claude 2) and Meta (Llama2), enabling the co-development of a sophisticated LLM.

Anticipated to debut in the first quarter of 2024, the new telco-focused LLM will offer a deeper understanding of telecommunication service-related areas and customer intentions that surpass the capabilities of general LLMs.

One of the primary objectives of this collaboration is to assist telcos worldwide in developing flexible generative AI services, including AI agents. By streamlining the process of building AI-driven solutions like contact centres, telcos can save time and costs and open new avenues for business growth and innovation.

Ryu Young-sang, CEO of SK Telecom, commented:

“Through our partnership with Deutsche Telekom, we have secured a strong opportunity and momentum to gain global AI leadership and drive new growth.

By combining the strengths and capabilities of the two companies in AI technology, platform, and infrastructure, we expect to empower enterprises in many different industries to deliver new and higher value to their customers.”

This collaboration signifies a proactive response to the escalating demand for AI solutions within the telco industry, promising a paradigm shift in the traditional telecommunications landscape. The announcement follows SK Telecom’s $100 million investment in Anthropic in August.

See also: UMG files landmark lawsuit against AI developer Anthropic

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Deutsche Telekom and SK Telecom partner on telco-focused LLM appeared first on AI News.

Their new research report, The Generative AI Tipping Point, sheds light on the challenges faced by organisations as generative AI technology becomes more prevalent in the workplace.

The report delves into how organisations are dealing with the use of generative AI tools, revealing a significant cognitive dissonance among IT and security leaders. Astonishingly, 73 percent of these leaders confessed that their employees frequently use generative AI tools or Large Language Models (LLM) at work. Despite this, a staggering majority admitted to being uncertain about how to effectively address the associated security risks.

When questioned about their concerns, IT and security leaders expressed more worry about the possibility of inaccurate or nonsensical responses (40%) than critical security issues such as exposure of customer and employee personal identifiable information (PII) (36%) or financial loss (25%).

Raja Mukerji, Co-Founder and Chief Scientist at ExtraHop, said: “By blending innovation with strong safeguards, generative AI will continue to be a force that will uplevel entire industries in the years to come.”

One of the startling revelations from the study was the ineffectiveness of generative AI bans. About 32 percent of respondents stated that their organisations had prohibited the use of these tools. However, only five percent reported that employees never used these tools—indicating that bans alone are not enough to curb their usage.

The study also highlighted a clear desire for guidance, particularly from government bodies. A significant 90 percent of respondents expressed the need for government involvement, with 60 percent advocating for mandatory regulations and 30 percent supporting government standards for businesses to adopt voluntarily.

Despite a sense of confidence in their current security infrastructure, the study revealed gaps in basic security practices.

While 82 percent felt confident in their security stack’s ability to protect against generative AI threats, less than half had invested in technology to monitor generative AI use. Alarmingly, only 46 percent had established policies governing acceptable use and merely 42 percent provided training to users on the safe use of these tools.

The findings come in the wake of the rapid adoption of technologies like ChatGPT, which have become an integral part of modern businesses. Business leaders are urged to understand their employees’ generative AI usage to identify potential security vulnerabilities.

You can find a full copy of the report here.

(Photo by Hennie Stander on Unsplash)

See also: BSI: Closing ‘AI confidence gap’ key to unlocking benefits

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Enterprises struggle to address generative AI’s security implications appeared first on AI News.

According to Barnett, Cloudflare’s cloud-native approach allows the company to continually innovate in the digital space. Notably, a significant portion of their services are offered to consumers for free.

“We continuously reinvent, we’re very comfortable in the digital space. We’re very proud that the vast majority of our customers actually consume our services for free because it’s our way of giving back to society,” said Barnett.

Barnett also revealed Cloudflare’s focus on AI during their anniversary week. The company aims to enable organisations to consume AI securely and make it accessible to everyone. Barnett says that Cloudflare achieves those goals in three key ways.

“One, as I mentioned, is operating AI inference engines within Cloudflare close to consumers’ eyeballs. The second area is securing the use of AI within the workplace, because, you know, AI has some incredibly positive impacts on people … but the problem is there are some data protection requirements around that,” explains Barnett.

“Finally, is the question of, ‘Could AI be used by the bad guys against the good guys?’ and that’s an area that we’re continuing to explore.”

Just a day earlier, AI News heard from Raviv Raz, Cloud Security Manager at ING, during a session at the expo that focused on the alarming potential of AI-powered cybercrime.

Regarding security models, Barnett discussed the evolution of the zero-trust concept, emphasising its practical applications in enhancing both usability and security. Cloudflare’s own journey with zero-trust began with a focus on usability, leading to the development of its own zero-trust network access products.

“We have servers everywhere and engineers everywhere that need to reboot those servers. In 2015, that involved VPNs and two-factor authentication… so we built our own zero-trust network access product for our own use that meant the user experiences for engineers rebooting servers in far-flung places was a lot better,” says Barnett.

“After 2015, the world started to realise that this approach had great security benefits so we developed that product and launched it in 2018 as Cloudflare Access.”

Cloudflare’s innovative strides also include leveraging NVIDIA GPUs to accelerate machine learning AI tasks on an edge network. This technology enables organisations to run inference tasks – such as image recognition – close to end-users, ensuring low latency and optimal performance.

“We launched Workers AI, which means that organisations around the world – in fact, individuals as well – can run their inference tasks at a very close place to where the consumers of that inference are,” explains Barnett.

“You could ask a question, ‘Cat or not cat?’, to a trained cat detection engine very close to the people that need it. We’re doing that in a way that makes it easily accessible to organisations looking to use AI to benefit their business.”

For developers interested in AI, Barnett outlined Cloudflare’s role in supporting the deployment of machine learning models. While machine learning training is typically conducted outside Cloudflare, the company excels in providing low-latency inference engines that are essential for real-time applications like image recognition.

Our conversation with Barnett shed light on Cloudflare’s commitment to cloud-native architecture, AI accessibility, and cybersecurity. As the industry continues to advance, Cloudflare remains at the forefront of delivering speed and security in the AI era.

You can watch our full interview with Dave Barnett below:

(Photo by ryan baker on Unsplash)

See also: JPMorgan CEO: AI will be used for ‘every single process’

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo, Edge Computing Expo, and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Dave Barnett, Cloudflare: Delivering speed and security in the AI era appeared first on AI News.

Snowflake’s data-backed report identifies the best-of-breed solutions used by Snowflake customers to show how marketers can leverage the Snowflake Data Cloud with accompanying partner solutions to best identify, serve, and convert valuable prospects into loyal customers. By analysing usage patterns from a pool of approximately 8,100 customers as of April 2023, Snowflake identified ten technology categories that organisations consider when building their marketing data stacks. The extensive research reflects how customers are adopting solutions from a rapidly-changing ecosystem and highlights the convergence of adtech and martech, the increased importance of privacy-enhancing technologies, and the heightened focus marketers have on measurement to maximise campaign ROI. The ten categories include:

• Analytics & Data Capture
• Enrichment
• Identity & Activation
  • Identity & Onboarders
  • Customer Data Activation
  • Advertising Platforms
• Measurement & Attribution
• Integration & Modeling
• Business Intelligence
• AI & Machine Learning
• Privacy-Enhancing Technologies

Focusing on those companies that are active members of the Snowflake Partner Network (or ones with a comparable agreement in place with Snowflake), as well as Snowflake Marketplace providers, the report explores each of these categories that comprise the Modern Marketing Data Stack, highlighting technology partners and their solutions as “leaders” or “ones to watch” within each category. The report also details how current Snowflake customers leverage a number of these partner technologies to enable data-driven marketing strategies and informed business decisions. Snowflake’s report provides a concrete overview of the partner solution providers and data providers marketers choose to create their data stacks.

“Marketing professionals continue to expand their investment in their customer data to improve their organization’s digital marketing activities. Snowflake’s goal is to empower them in their journey to data-driven marketing,” said Denise Persson, Chief Marketing Officer at Snowflake. “Amperity emerged as a leader in customer data activation because of its multi-patented approach to identifying, unifying and activating first-party online and offline data through a 360-degree view of the customer.”

Amperity was identified in Snowflake’s report as a leader in the Customer Data Activation category for data activation solutions, such as customer data platforms, customer engagement platforms, reverse ETL providers, and others, which are designed to make the activation process faster and easier. Activating data means doing something with it to derive valuable outcomes. In the case of the marketing data stack, that means taking identified and enriched audience data, creating relevant segments and audiences, and ultimately bringing it to the owned-media platforms in particular (website, email, in-app.etc) that help companies reach those individuals with the right messages.  

“We’re honoured that Snowflake has recognised Amperity as a customer data activation leader in this year’s Modern Marketing Data Stack report,” said Derek Slager, co-founder & CTO at Amperity. “Together, we enable our joint customers to comprehensively unify all of their customer data using AI. We then enable comprehensive multi-channel activation across the marketing and advertising technology ecosystems. Amperity’s modern, future-proof connectors, bring first-party data to the post-cookie ecosystem through Amperity for Paid Media.”

Click here to learn more about how Amperity and Snowflake partner to bring the modern martech stack to life.

(Editor’s note: This post is sponsored by Amperity)

The post Amperity recognised as a leader in Snowflake’s modern marketing data stack report appeared first on AI News.

How to create a digital marketing strategy with AI

AI has opened up a vast array of new possibilities for digital marketers, enabling them to gain competitive advantages and engage with customers in innovative ways. Among such tools are artificial intelligence marketing platforms, which in essence, are software that leverage AI technology to perform tasks and help marketers make insightful business decisions.

From predicting customer behaviour to automating tasks, AI marketing tools can help marketers save time, increase efficiency, optimise efforts, and boost ROI by identifying patterns from historical marketing data. 

In this article, we’ll delve into the world of AI marketing strategy, exploring how to create a powerful digital marketing plan by harnessing AI-driven tools and technology.

The power of AI in marketing

Using AI for marketing has rapidly become a game-changer in the world of digital marketing. Its ability to process vast amounts of data, analyse patterns, and make real-time decisions has made it an indispensable tool for marketing teams. Here’s how you can harness the potential of AI to supercharge your marketing strategy:

1. Understand your target audience

One of the primary advantages of AI in marketing is its ability to analyse customer data comprehensively. With AI-driven tools, you can gain valuable insights into consumer behaviour, preferences, and buying patterns. This information is instrumental in creating highly targeted marketing campaigns that resonate with your audience.

2. Personalise content

AI technology enables you to personalise your content like never before. By analysing user data, AI can tailor marketing messages and product recommendations to individual customers. This personal touch not only enhances the customer experience but also boosts conversion rates.

3. Content generation

Creating engaging content is a fundamental aspect of any marketing strategy. AI can assist marketing teams by generating content ideas, optimising headlines, and even drafting articles. This streamlines the content creation process, allowing marketers to focus on strategy and creativity.

4. Real-time decision-making

In the fast-paced world of digital marketing, timing is crucial. AI can analyse data in real-time, helping you make informed decisions on when and where to run your marketing campaigns. This ensures that your efforts always align with the latest trends and consumer behaviour.

Now that we’ve explored the incredible potential of AI in marketing, let’s dive into the tools of AI for marketing strategy.

Seven best AI tools that help you to create a marketing strategy

Adzooma

Adzooma stands as a formidable AI marketing ally, offering an array of invaluable benefits for optimising your AI marketing strategy. With its AI-powered recommendations, it seamlessly identifies avenues for enhancing campaign performance. The platform’s automation capabilities extend to managing bid adjustments, fine-tuning keyword targeting, and conducting ad copy tests, significantly streamlining your campaign management tasks. By harnessing Adzooma, not only do you achieve time efficiency, but you also elevate the effectiveness of your AI marketing endeavours, yielding superior results.

Jasper

Jasper AI, formerly recognized as Conversion.ai, represents an advanced AI marketing solution tailored for crafting top-notch content across various channels, including social media, email, landing pages, and articles. It harnesses the capabilities of the GPT-3 model developed by OpenAI to transform text into engaging copy. Marketers can effortlessly generate compelling content by supplying input such as brand or product names. With this potent AI marketing tool, businesses spanning diverse sectors gain the capacity to craft more convincing, alluring content for their blog posts, landing pages, social media, advertisements, marketing emails, and beyond.

HubSpot

HubSpot’s AI tools empower marketers to unlock new levels of creativity and precision in their campaigns, ultimately driving enhanced engagement and results. Transform your marketing approach with HubSpot’s cutting-edge AI capabilities. Marketers now have access to powerful tools that facilitate content creation, campaign personalization, and data analysis, enabling the development of precise and influential marketing strategies. Additionally, it assists in crafting social media posts and generating images based on user prompts, ensuring that your marketing efforts are streamlined, efficient, and highly impactful. 

Murf AI

Murf stands as an AI voice synthesiser, ranking among the foremost AI marketing solutions. It empowers marketers to generate lifelike speech through natural language processing, eliminating the necessity for specialised hardware. This AI marketing solution streamlines marketers’ processes, facilitating the swift creation of audio and video content for various applications, such as social media, brand advertising, and marketing initiatives, all within a matter of minutes.

Adobe Sensei

Adobe’s commitment to innovation ensures that brands can leverage AI-driven marketing solutions to elevate their customer experiences, paving the way for enhanced engagement and loyalty. As a pioneering force in artificial intelligence, we recognise that generative AI holds the power to revolutionise all facets of marketing, spanning the realms of strategy, implementation, and analysis. With the introduction of Adobe Sensei GenAI, their latest AI technology, customer experience teams can harness the innate capabilities of generative AI. This empowers them to amplify their expertise and deliver customer journeys that are not only more precise but also deeply personalised. 

ClickUp

The introduction of ClickUp AI marks a transformative moment for marketing and sales units, offering enhanced efficiency, seamless collaboration, and expedited workflows. This innovative feature within ClickUp introduces AI capabilities that are poised to revolutionise the way teams operate. From streamlining processes and fostering creativity to facilitating project management and igniting innovative thinking, ClickUp AI is the catalyst for optimising productivity and content quality, all while ensuring consistency and scalability.

SurferSEO

SurferSEO is an AI-powered SEO tool that helps you optimise your content for search engines. It analyses the top-ranking pages for your target keywords and provides you with insights into their content structure, word count, and other factors. You can then use this information to create content that is more likely to rank well.

Final thoughts

As AI technology continues to evolve, its role in marketing will only become more prominent. By harnessing the power of AI-driven tools and technology, you can create a dynamic and data-driven marketing strategy that not only reaches your target audience but also engages them on a personalised level. Embrace the future of marketing with AI and elevate your brand to new heights.

(Photo by Johannes Plenio on Unsplash)

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