Tag: #AI

Poolbeg Pharma – Successful Artificial Intelligence led programme identifies multiple influenza drug targets

Poolbeg Pharma (AIM: POLB, OTCQB: POLBF, ‘Poolbeg’ or the ‘Company’), a clinical-stage biopharmaceutical company focusing on infectious and other prevalent diseases with a high unmet medical need, announces a significant breakthrough in its world first influenza Artificial Intelligence (‘AI’) Programme with CytoReason. Poolbeg has been working with CytoReason since March 2022.

Poolbeg’s unique disease progression data from influenza human challenge trials combined with CytoReason’s broad repositories of curated disease data were analysed using CytoReason’s industry-leading AI-led platform. The analysis has led to the discovery of multiple novel drug targets for the treatment of influenza.

Identification of drug targets from this unique data-set has previously been successful as p38 MAP Kinase, inhibited by POLB 001, was identified as a driver of severe influenza but this required manual analysis that took several years. However, through the utilisation of CytoReason’s cutting-edge AI technology, Poolbeg has now identified multiple novel drug targets in just 15 months. Moreover, CytoReason’s analysis independently confirmed the significance of the p38 MAP kinase pathway in influenza, providing further validation for Poolbeg’s POLB 001 programme.

The Company is actively exploring the most effective way to further develop the novel drug targets in order to generate value and looks forward to updating shareholders about the progress of this programme in due course. This marks Poolbeg’s second successful AI Programme, following the identification of potential new drug candidates for Respiratory Syncytial Virus (RSV) announced in December 2022.

Jeremy Skillington, PhD, Chief Executive Officer of Poolbeg Pharma, commented: “Our collaboration with CytoReason has put Poolbeg at the forefront of AI drug discovery. CytoReason’s deep interrogation of the uniquely rich data derived from human challenge trials has deepened our knowledge of influenza, resulting in the identification of multiple novel influenza drug targets. There is a significant unmet need for new and better treatments for vulnerable patients with influenza and this is a major milestone in the delivery of new therapies that can improve patient outcomes and global health.”

David Harel, Chief Executive Officer of CytoReason, said:

“Once again, we’re pleased to see that leveraging CytoReason’s computational disease models to extract insights from Poolbeg’s unique human challenge data can optimise the target discovery process. More importantly, these impressive results would not be possible without the commitment, transparency, and reciprocity of both teams.”

Cpl Adapts Faster to Talent Trends and Unlocks Efficiencies with Salesforce

Talent and recruitment specialist Cpl is using Salesforce technology to unlock efficiencies and fast-track growth.

Why it’s important: Recruitment is a volatile market with global events and economies constantly impacting the demand for talent. It can be very complicated, too, particularly in specialist and regulated sectors such as healthcare.

With more than 20 brands and 40 offices across 18 countries, Dublin-headquartered Cpl every month sources over 35,000 applications locally and internationally.

Combining AI, data and CRM, the group is unlocking ways to reduce the time to hire for their clients, deliver better candidate experiences, and expand into new markets efficiently.

The Salesforce Platform is at the heart of Cpl’s business, Cpl has developed custom workflows that automate repetitive tasks, accelerating recruitment and onboarding timings by 75% by simplifying data capture and candidate evaluation processes.

Integrated with over 90 internal and external sources, including job websites, finance tools, and applicant tracking systems, has created a single source of truth of client and candidate information and delivered business value worth around €1M within 18 months.

Cpl is continually adding new features to personalise the recruitment lifecycle, including creating their own candidate shortlists and sending tailored newsletters to clients to showcase new talent.

The Salesforce solution: 

  • With Experience Cloud, Cpl has created personalised recruitment portals for clients and to provide candidates with more self-service options.
  • With Sales Cloud Cpl can connect new business leads and insights across its global operations, creating a group-wide view of sales pipeline and performance.
  • Customising Salesforce workflows with Trailhead, Cpl can capture and analyse data at every step of the recruitment journey and identify trends shaping the future of work which helps clients compete more effectively for the best talent.
  • Migrating to Hyperforce has enabled the group to scale more easily into new markets whilst strengthening data security and regulatory compliance.

Lorna Conn, CEO at Cpl said: “Today, being able to source the right talent at the right time requires the ability for everyone involved – clients and candidates – to move fast and maximise productivity. With Salesforce, being able to support multiple teams and brands on a single platform has enabled us to simplify our processes and unlock greater efficiency.

“Shifting our recruitment strategy from reactive to proactive and transforming the insights we extract from our data is enabling more informed conversations with our clients and scaling our processes and teams quickly and cost-effectively.”

Carolan Lennon, Country Leader, Salesforce Ireland said: “Today, helping organisations access the talent they need to thrive, tackling the skills gap while strengthening your own processes to work smarter and faster is no easy feat.

“By bringing multiple teams and brands onto a single platform Cpl shows the power that data, AI and CRM can have in helping companies adapt to new business realities and unlock growth opportunities.”

3 million employees worldwide now using Workhuman’s AI-powered bias detector

Workhuman®, the company revolutionising the way employees celebrate, connect with and appreciate each other in the workplace, is today announcing that its proprietary AI-powered bias detector, Inclusion Advisor, is now being used by 3 million employees worldwide. Global enterprises including Merck, LinkedIn, Cisco and others are using the tool as part of their employee recognition programmes to provide team members with continuous coaching that enables measurable changes in attitudes over time.

Workhuman’s first-of-its-kind tool analyses everyday workplace language to detect unconscious bias. With a click of a button, employees can use Inclusion Advisor to scan the message they have written in Workhuman’s employee recognition platform. The tool was built in Dublin by Workhuman’s technology and engineering teams. It has been developed over a four-year period and harnesses the expertise of the Workhuman iQ team of linguists, data scientists, engineers, psychologists, and experts in natural language processing (NLP) and machine learning (ML).

Workhuman research shows that implicit bias is found in 20-30% of all written communications in the workplace, even in the most positive setting. The Inclusion Advisor model can detect 18 forms of bias and in the last nine months, it flagged 69,000 instances of bias in 40,000 recognition messages. Some types of prevalent biases categories that it flags are:

  • “Me, Myself and I” – found in 14% of bias instances, this language conveys the writer’s sense of self-importance and distracts from the awardee’s accomplishments.
  • “No Work-Life Balance” – appearing in 13% of bias instances, this category praises work that is detrimental to a healthy work-life balance.
  • “Gender stereotyping” – representing 5% of all bias detected, this is praise which conveys unconscious gender bias, involves gender-biased language and/or refers to stereotypical gender roles.

Inclusion Advisor, which is continuously updated with real-life examples of implicit bias, can also detect biases including age bias, microaggressions, and negative comparisons.

Jonathan Hyland, Workhuman CTO, said: “We wanted to create a tool that provides an in-the-moment learning opportunity to better understand how language can be perceived by others. Even the most well intended messages can have unconscious bias. The right words and the right message, delivered in a timely manner, can have a positive and even lifelong impact on others. Inclusion Advisor helps users write inclusive, meaningful recognition messages that will make the recipient feel seen, heard, and valued for their contributions. 

“With the latest advancements in AI and ML, we are able to develop more sophisticated technology that can better understand and interpret recognition messages, identify trends and patterns, and provide more accurate and personalised recommendations. Inclusion Advisor reacts to unconscious bias on a continuous, sustainable basis, which is the only way to see real behavioural changes. In doing so, we are providing businesses with the most advanced and effective tools to foster a truly inclusive workplace environment.”

EPAM Announces Strategic Global Partnership with Google Cloud to Help Enterprises Modernise and Transform with the Power of AI

EPAM Systems, Inc. a leading digital transformation services and product engineering company, has announced a strategic, global partnership with Google Cloud to develop and deploy Artificial Intelligence (AI)-first Google Cloud solutions to help enterprises overcome operational challenges and drive transformational growth.

Through this partnership, EPAM will expand its global, cloud-native engineering and integration services and introduce targeted vertical solutions and managed services around Google Cloud AI solutions, including Vertex AI, Generative AI App Builder, Model Garden and more.

“We are excited to expand our partnership with Google Cloud to bring the power of AI to our clients,” said Elaina Shekhter‎, Chief Marketing & Strategy Officer, EPAM. “Today’s technology transformations are built on the foundation of digital and cloud-native developments, many of which we’ve been working with Google since the mid-2000s. Larger-scale success with AI will also be critically enabled by a new wave of EPAM’s industry-leading data engineering and ML capabilities.  By furthering our long-standing partnership, we will help our clients stay ahead of the competition in a fast-changing digital landscape.”

As the global AI market soars and adoption expands, demand is increasing exponentially for AI, machine learning (ML) and advanced engineering across all industry verticals. This partnership will leverage Google Cloud’s advanced AI and ML capabilities, EPAM’s platform and data engineering DNA and nearly 30 years of experience in engineering, consulting, and software development experience to deliver innovative cloud-enabled AI, data modernisation, migration, data and analytics solutions to the Forbes Global 2000.

“Generative AI has the potential to streamline business processes and even transform entire industries,” said Michael Clark, Vice President, Google Cloud North America Regions. “By combining Google Cloud’s generative AI capabilities with EPAM’s engineering expertise, we will help customers leverage cloud-first technology and generative AI as a catalyst for digital transformation, rapidly realising business value, addressing real-world use cases and driving business growth across industries.”

EPAM and Google Cloud have a 15-year, global 360-degree partnership that combines EPAM’s engineering DNA, strategic consulting, and growing industry-focused technology solutions with Google Cloud’s infrastructure, AI/ML, generative AI and analytics technology. While continuing to focus on the long-standing tenants of this partnership, EPAM and Google Cloud will expand their collaboration to build and deliver AI-driven solutions helping enterprises in key verticals, including financial services, consumer, telecom, media, entertainment, healthcare, life sciences, energy and high-tech to modernise and transform their businesses.

To learn more about EPAM and Google Cloud’s Partnership, visit epam.com/about/who-we-are/partners/google-cloud.

Easy Ways to Spot AI-Generated Content for Non-Techies

Around 12% of businesses are already using AI for content creation, making this one of the most common applications for generative artificial intelligence. 

That said, there’s no denying the fact that content generated through AI is different from images and texts from human creators.  

So, how can you identify texts and images that have been created through AI?

3 Ways to Identify AI Text

With almost 850 million monthly visitors, ChatGPT is the most popular generative AI language tool available–but it’s far from the only option. 

Here are some tips you can use to identify content generated through ChatGPT and other AI platforms. 

#1. Check for Repetition of Common Terms

The vast majority of generative AI language models attempt to predict the next letter in a sentence based on your input. 

However, this also means that these language models are likely to repeat common words like “the,” “it,” and “is.” Rather than identifying the repetition and adjusting it, AI models usually look over this pattern. 

So, if a piece of content repeats these common words to the point of being noticeable, it may be a sign it was generated through AI. 

#2. Review Sentence Length, Punctuation, and Other Patterns

Most of us read at a 7th or 8th grade-level in terms of comprehension. 

So, when AI platforms like ChatGPT generate written content for us, they tend to follow readability best practices to the extreme, which usually results in visible patterns. 

This includes things like:

 

  • Same sentence length: humans like reading shorter texts, and AI platforms know this, so they tend to write short sentences that are roughly the same length, creating a monotonous tone;
  • Punctuation: likewise, you may also notice patterns in punctuation like a comma, colon, or semicolon every so often, so the point that it becomes noticeable;
  • Platform-specific watermarks: this is a more advanced strategy developed by computer scientists. The idea is that you can identify invisible “watermarks,” which consist of variables like specific word choices to help identify AI-generated text. 

The watermarks technique was developed by independent researchers. 

That said, OpenAI, the company behind the creation of ChatGPT, has confirmed it is developing these watermarks to make AI content easy to identify later on. 

#3. Verify Typos and Grammar Errors

Texts written by AI rarely ever have typos or grammar mistakes, and this in itself can be a way to identify artificial intelligence content. 

The reality is that human text is usually filled with typos, grammar mistakes, and inconsistencies. Not only this, but we tend to bend the rules and manipulate language to help us get our point across. 

AI language models lack this ability, so if you notice that a piece of writing is too pristine and robotic, it may have been created by an AI platform. 

3 Ways to Spot AI Images

AI images portraying shocking scenarios have flooded the web over the last few years–but many of the most notorious cases have actually been the work of AI. 

Here are a few ways you can differentiate images created by AI from real photographs. 

#1. Pay Attention to Fingers and Teeth

All AI models need to be trained through a database that includes images. However, not all images in these databases include complete images of hands and smiles. 

Because of this, it’s common for AI platforms to struggle with the creation of teeth and fingers. So, if you want to know if an image was created or doctored using AI, start by checking that the fingers and teeth have the right number of extremities and proportions. 

#2. Look at Unnatural Smoothness

Another common mistake that AI platforms make when creating images is generating overly smooth textures. 

This issue can be noticed on all surfaces, including the skin of the people in the image, their clothing, and even on secondary elements. 

#3. Assess the Logic of the Image

With text-based content, it’s necessary to read at least part of it to determine where it came from. Images, on the other hand, are easier to assess visually. 

An effective way to determine if an image was generated through AI is to assess the logic of the elements inside of the frame. 

For instance, the famous pictures of a beached great white shark that went viral were quickly disproved after social media users noticed that the characteristics of the animal were slightly different in every image. 

How Will AI-Generated Content Impact the World?

It’s impossible to predict the impact of AI-generated content and how it will shape society. 

On the one hand, the biggest effect of AI may be a boost in productivity and efficiency, given that artificial intelligence can be used to create content at scale. 

That said, AI can also be used to spread misinformation in many formats, including text, images, and even deepfake videos that have the potential to be extremely damaging at a social level. 

With that said, it’s paramount to have a good cybersecurity culture in place to avoid getting your data breached and cracked when using AI tools. 

Try a VPN to protect your sensitive information when playing with the generative AI, and don’t forget that everything you put out there–can be used against you.

Conclusion

AI tools have already changed the way we generate content for marketing and entertainment. 

That said, it’s essential for us to retain the ability to differentiate between AI and human content to understand the potential impact these texts and images can have on humans. 

While already difficult, it’s possible to identify AI text by checking for repetition, identifying patterns, and even using artificial intelligence platforms. 

Likewise, you can usually stop AI images due to the distinct appearance of fingers, teeth, surface smoothness, and the overall logic of the image.

All in all, artificial intelligence content is already a major trend that will continue to grow and shape how we view modern brands. 

 

54% of IT Leaders in Ireland Doubt AI Capacity, More than Worldwide Average

Over half (54%) of IT leaders in Ireland believe their existing IT infrastructure is not fully prepared for the demands of artificial intelligence (AI) technology, despite its widespread adoption across industries, according to the Equinix 2023 Global Tech Trends Survey. The survey, which examined IT leaders’ responses to AI advances in their organisations, comes after a year of significant AI breakthroughs that saw the technology rapidly deployed in applications across both the business-to-business and business-to-consumer sectors.

Equinix’s survey, which included 100 IT decision-makers in Ireland, found that, on average, IT leaders in Ireland were more likely than IT leaders in EMEA – and worldwide – to lack confidence in their digital infrastructure’s ability to cope with the demands of AI. The survey found that 49% of IT decision-makers in EMEA have concerns about the ability of their infrastructure to accommodate the needs of AI, compared to 44% in Asia-Pacific and 32% in the Americas

The survey showed that there is now a widespread appetite among businesses in Ireland to benefit from the advantages of AI, with 85% of IT leaders reporting that they are already using it, or planning to do so, across multiple functions. A similar survey from Equinix last year found that a significantly lower 62% of IT leaders viewed AI as a priority for their technology strategy, representing a marked change in sentiments towards the technology and its accessibility. Today, organisations in Ireland are currently using, or planning to use, AI to benefit IT operations (85%), cybersecurity (81%), and customer experience (80%).

In addition to inadequate digital infrastructure, the survey highlighted a lack of confidence among IT leaders in Ireland in their teams’ abilities to accommodate the growing use of AI, with 59% expressing concerns. Therefore, 34% of IT leaders understandably listed AI and machine learning as the third-most sought after expertise for IT team growth in the last 24 months. The lack of internal knowledge relating to AI was found to be enough to put 46% of IT decision-makers off adopting newer technologies like AI. Other deterrents included increased OPEX costs (42%) and slow implementation (41%).

Peter Lantry, Managing Director for Equinix in Ireland, said: “All industries are being transformed by AI – including our own. We are already experimenting with how it can enable greater operational efficiency and energy savings – and it has the potential to do so much more.

“For enterprises to use AI in a meaningful way, they must be able to produce vast amounts of data which can be shared, stored and processed in a sustainable way. They require digital infrastructure that guarantees private, secure, high-speed access to external data sources and AI models.

“Ireland’s digital economy is growing and there is no question that AI will play a central role in its continued growth. From disease detection in healthcare, to fighting cybercrime in financial services, it will have a profound impact on our everyday lives, with every industry benefiting from its implementation. Without the right digital infrastructure underpinning it, AI cannot be intelligent, and given the pace of change, businesses will quickly find themselves left behind.

A full copy of the report can be found here.

Jabra announces AI-powered updates to the Jabra PanaCast 50

Jabra, a leader in personal sound and hybrid work solutions, announces new AI-powered features for its PanaCast 50 and PanaCast 50 Room System today at InfoComm 2023. Hybrid meetings are top of mind for businesses, with Jabra research* revealing that 80% of all meetings globally are either fully virtual or hybrid. So, it is important that employees get the most out of their meetings, regardless of where they are joining from. rom.  

To address this need, in collaboration with Microsoft, Jabra is introducing new updates to its PanaCast 50 video bar, including Microsoft IntelliFrame with multiple video streams, as well as face and voice recognition functionality**. These new features aid Microsoft’s next-generation AI tools, including intelligent meeting recap in Teams Premium to revolutionise meeting experiences.         

PanaCast 50 enable productivity powered by AI 

As organisations strive to increase productivity in light of hybrid working, Jabra’s collaboration with Microsoft unlocks a new era of inclusive and dynamic communication. The PanaCast 50 will be one of the first intelligent front-of-the-room Teams Rooms on Windows video bar to enable Microsoft IntelliFrame with multiple video streams. Additionally, with Teams’ voice recognition capabilities, the PanaCast 50 allows in-room participants to maintain their identity in the meeting transcript, aiding AI based productivity tools. 

With intelligent recap in Teams Premium, you’ll get automatically generated meeting notes, recommended tasks, and personalised highlights to help you get the information most important to you, even if you miss the meeting. Meanwhile, Microsoft IntelliFrame gives each in-room participant a dedicated camera view, providing a more inclusive remote experience and providing an optimised front row experience in room-to-room meetings. 

Both features play a key role in helping employees to have more productive meetings, get up to speed on focus topics, organise key discussion points, and summarise actions so that the entire group understands the next steps.  

 

 

 

PanaCast 50 enables dynamic communication by facial and vocal identity technology 

The new multiple video stream functionality enables remote users in the Teams meeting to have a better view of who is in the meeting room with three video streams: the first stream is the current speaker, the second stream is for the previous speaker, and the third stream is the full panoramic room view of the meeting room or space, so no individual is excluded. The upcoming face recognition functionality allows in room participants – upon authorisation with individual enrollment – to display their names to remote users and populate the meeting room roster.  

Voice recognition functionality – upon individual enrollment – enables in room participants to maintain their identify in the meeting transcript, enabling more precise intelligent recaps for users with a Teams Premium license. 

Hybrid meetings are also taken to the next level as the system comes equipped with the Jabra Intelligent Meeting Space. The new features allow customers to set a meeting room or space virtual boundary with PanaCast 50, so that people within the defined space are fully included, whereas people outside of the boundary are not inadvertently included. The new feature allows PanaCast50 to exclude people who are visible through glass walls and are not part of the meeting.  

Aurangzeb Khan, Senior Vice President of Intelligent Vision Systems at Jabra, says, “At Jabra, we are always looking for ways to harness the power of cutting-edge AI technologies to revolutionise hybrid and remote meetings. This is why we are thrilled to introduce these new PanaCast 50 capabilities for collaboration with Microsoft Teams. These features are set to give professionals immediate productivity benefits, helping them better navigate the hybrid working era seamlessly, online and offline.”  

Albert Kooiman, Senior Director, Microsoft Teams Devices Partner Engineering and Certification at Microsoft says, “Microsoft Teams leverages the power of AI to create unique user experiences before, during and after Teams meetings, to enhance employee inclusion and drive natural collaboration. Jabra and Microsoft closely worked together on the PanaCast 50 to make this device an essential component of unlocking these AI powered features for individuals, teams, and businesses.”  

Building a next generation device management platform. 

Jabra is looking to bring the same level of innovation into the device management side of our collaboration solution space. With IT managers and partners, the task of managing their installed devices is a vital success factor and Jabra PanaCast customers are no different. Jabra’s intelligent meeting room solutions require a management platform that takes full advantage of all the capabilities on offer, while also ensuring we reduce time and effort spent managing them. This reimagined management platform is planned for wider availability by the end of this year. 

Find out more at https://www.jabra.co.uk/panacast50             

How To Be A Human Writer In An AI World

ChatGPT originating in November 2022 has triggered massive AI trends with other software like it emerging in the marketplace. As more bloggers rely on AI-generated content rather than the work of human writers, freelance writers risk losing clients and earnings.As more bloggers rely on AI-generated content, validated with an AI content checker, rather than the work of human writers, freelance writers risk losing clients and earnings.

Tools like Originality.ai have been created to help ensure the content bloggers are publishing meets their standards… using the tool they know if content was AI generated, plagiarized, factually accurate and if it is optimized to rank well in Google.

Here, we discuss different AI news stories in Ireland. We also offer tips on how to be a human writer in this new AI world and still make a living doing what you love. 

Trying to find new clients who value human writing can be challenging and exhausting. Take a break by watching a fun, thrilling sports game. Visit this site to learn about the most recent local sports games and how you can place a bet. 

The Cost Effectiveness of AI

Bloggers, influencers, and other content creators are shifting to using AI software to automatically write content quickly and effortlessly by inputting a description of their intended article subject and some supporting details. Of course, the person may have to do some research on their end to increase the piece’s overall credibility and link to external articles. 

Overall, paying for the full benefits of AI software is usually cheaper than outsourcing to human writers affiliated with a content writing company.  The drawback of saving money using AI is that the final piece may not feel as humanly generated because it lacks the unique nuance that human writers bring to the table. 

Irish Times Accidentally Publishes An AI-Generated Article

In May 2023, the Irish Times worked with a guest writer that gave them AI-written content. The subject of the article was fake tans. With thorough analysis, the editorial team found that part of the article and even the image provided to supplement writing were AI-generated. 

Hence, the newspaper company is now buckling down on its screening process to be sure guest writers deliver vetted, thorough, fact-checked work. It goes to show that many news outlets and their readers still appreciate and value human writing. 

Ireland Teachers Use AI Software To Generate Student Progress Reports

AI trends are affecting more than the online writing industry. The Association of Secondary Teachers in Ireland (ASTI) reported in April 2023 that many local educators purchased an AI software called the Real Fast Report. 

The AI software will assist in writing student progress reports. The teachers type in details about the child’s performance, grades, and overall progress that are auto-generated into a full report. 

Sure, this is convenient for the teachers who can now spend less time generating reports for a class of 20 or more students every semester. However, parents are skeptical because they feel their children’s progress will be misinterpreted. 

Tips for Being A Human Writer In An AI World

If you write content for a living, this section is for you! Writing is your art form and chosen career path and it’s best to learn what’s best to keep your passion and livelihood strong while being mindful of the new AI trends. 

Here are some tips on how to be a successful human writer in this new AI-driven world. 

Get To Know AI Platforms

While you want to still generate human-written content, AI can assist you along the way. Learn the software and discover how to generate blog topics. Ask for title suggestions if you hit writer’s block on what to generate content about and go from there. 

Do you have a large list of clients to email, but you do not have time to write carefully generated correspondence? AI programs can also help you write emails in a pinch.

Additional tools can help every text seem more polished and natural, ensuring your emails maintain a professional yet engaging tone. Writers frequently use an AI Humanizer that refines AI-generated content, making it sound less robotic and more tailored to their audience. This can be especially useful for client communication, where a personal touch is key to building strong relationships. With the right tools, businesses can save time while still delivering high-quality, authentic messages.

Learn New Writing Skills

You can write for many years and still not know all the techniques of the trade. If you are a blog writer, learn about blog writing recipes. Social media writers can always learn how to enhance their content strategy to be more effective in writing posts for clients. 

Enhance Your Creative Thinking

While AI can help you with the general tasks of developing topic ideas, don’t forget to tap into your creative thinking. Ask yourself:

  • What does my audience want to hear about this topic? 
  • What research anecdotes will support this topic and build my credibility?

Salesforce Announces AI Cloud – Bringing Trusted Generative AI to the Enterprise

Salesforce today announced AI Cloud, the fastest and most trusted way for Salesforce customers to supercharge their customer experiences and company productivity with generative AI for the enterprise. AI Cloud is a suite of capabilities optimized for delivering trusted, open, and real-time generative experiences across all applications and workflows. AI Cloud’s new Einstein GPT Trust Layer resolves concerns of risks associated with adopting generative AI by enabling customers to meet their enterprise data security and compliance demands, while offering customers the benefits of generative AI. This unique blend of capabilities and security solidifies Salesforce’s position as the #1 AI CRM.

At the heart of AI Cloud is Einstein, the world’s first AI for CRM, which now powers over 1 trillion predictions per week across Salesforce’s applications. With generative AI, Einstein helps make every company and employee more productive and efficient across sales, service, marketing, and commerce.

AI Cloud will enable sales reps to quickly auto-generate personalized emails tailored to their customer’s needs, and service teams to auto-generate personalized agent chat replies and case summaries. Marketers can auto-generate personalized content to engage customers and prospects across email, mobile, web, and advertising. Commerce teams can auto-generate insights and recommendations to deliver customized commerce experiences at every step of the buyer’s journey. And, developers can auto-generate code, predict potential bugs in code, and suggest fixes.

Why trusted generative AI matters in the enterprise: Company leaders want to embrace generative AI, but are wary of the risks – hallucinations, toxicity, privacy, bias, and data governance concerns are creating a trust gap. New Salesforce research found that 73% of employees believe generative AI introduces new security risks and nearly 60% of those who plan to use the technology don’t know how to keep data secure.

AI Cloud will help fill that trust gap with the new Einstein GPT Trust Layer. The Einstein GPT Trust Layer will help prevent large-language models (LLMs) from retaining sensitive customer data. This separation of sensitive data from the LLM will help customers maintain data governance controls while still leveraging the immense potential of generative AI. The Einstein GPT Trust Layer sets a new industry standard for secure generative AI for the enterprise.

“AI is reshaping our world and transforming business in ways we never imagined, and every company needs to become AI-first,” said Marc Benioff, Chair and CEO, Salesforce. “AI Cloud, built on the #1 CRM, is the fastest and easiest way for our customers to unleash the incredible power of AI, with trust at the center driven by our new Einstein GPT Trust Layer. AI Cloud will unlock incredible innovation, productivity, and efficiency for every company.”

AI Cloud will integrate Salesforce technologies, including Einstein, Data Cloud, Tableau, Flow, and MuleSoft to provide trusted, open generative AI that is enterprise ready.

Trusted and Open: The Einstein GPT Trust Layer will enable companies to get started with trusted generative AI faster by optimizing the right model for the right task. It will also provide deployment capabilities for any relevant LLM while helping companies maintain their data privacy, security, residency, and compliance goals.

  • Use of Third-Party LLMs: As part of Salesforce’s commitment to an open ecosystem, AI Cloud is designed to host LLMs from Amazon Web Services (AWS), Anthropic, Cohere, and others — entirely within Salesforce’s infrastructure. AI Cloud will help maintain customer prompts and responses in the Salesforce infrastructure. In addition, Salesforce and OpenAI have established a shared trust partnership to deliver joint content moderation using OpenAI’s leading Enterprise API and best-in-class safety tools in conjunction with the Einstein GPT Trust Layer to help keep data retained in Salesforce.
  • Use of Salesforce LLMs: AI Cloud will enable customers to use Salesforce LLMs developed by Salesforce AI Research to power advanced capabilities such as code generation and business process automation assistance, fundamentally transforming how businesses interact with their CRM software. Salesforce’s LLMs – including CodeGen, CodeT5+, and CodeTF – help companies increase productivity, bridge the talent gap, reduce the cost of implementations, and better detect incidents.
  • Bring Your Own Model (BYOM): Customers who have trained their own domain-specific models outside of Salesforce will benefit from AI Cloud while storing data on their own infrastructure. These models, whether running through Amazon SageMaker or Google’s Vertex AI, will connect directly to AI Cloud through the Einstein GPT Trust Layer. In this scenario, customer data can remain within the customers’ trust boundaries.

Business Ready: AI will fuel more than $15 trillion in global economic growth and boost GDP by 26% by 2030*. AI Cloud will harness the full power of Salesforce, helping make companies and employees more productive and efficient.

  • Generative AI across every Salesforce application: Salesforce is bringing trusted generative AI to every product with Sales GPT, Service GPT, Marketing GPT, Commerce GPT, Slack GPT, Tableau GPT, Flow GPT, and Apex GPT.  See more about Salesforce’s trusted, open, and business-ready generative AI-powered applications here.
  • Prompt template and builders: The prompts used to generate AI content directly influence the quality and relevance of the generated content. Salesforce is developing optimized AI prompts that use harmonized data to ground generated outputs in every company’s unique context. These context-rich prompts will help sales, service, marketing, commerce, and IT teams get instant value from trusted generative AI, without hallucinations, while reducing time and cost.

The customer perspective:

“Our goal is to deliver more personalized member engagement, make our processes more efficient and cost-effective, and drive innovation across our team within a safe and trusted environment,” said Shohreh Abedi, EVP, Chief Operations Technology Officer, and Member Experience at AAA – The Auto Club Group. “We’re accelerating our digital transformation with Salesforce, and AI Cloud will help us implement AI across our entire business, including devops, support, sales, and underwriting.”

“Embedding AI into our CRM has delivered huge operational efficiencies for our advisors and clients,” said Greg Beltzer, Head of Tech for RBC US Wealth Management. “We believe that this technology has the potential to transform the way businesses interact with their customers, deliver personalized experiences, and drive customer loyalty. We are excited to explore this opportunity with Salesforce and drive the next generation of personalized customer experiences.”

Salesforce and Accenture’s Acceleration Hub for Generative AI

Salesforce recently announced plans to collaborate with Accenture to accelerate the deployment of generative AI for CRM. Together, the companies intend to establish an acceleration hub for generative AI that provides organizations with the technology and experience they need to scale generative AI for CRM — helping to increase employee productivity and transform customer experiences.

Pricing and Availability

Specific feature availability details as follows:

  • The Einstein GPT Trust Layer will be generally available in June 2023.
  • Service GPT is in pilot today, and will be generally available in June 2023.
  • Sales GPT is in pilot today, and will be generally available in July 2023.
  • Marketing GPT will be in pilot in June 2023, and generally available February 2024.
  • Commerce GPT is in pilot today, and will be generally available in July 2023.
  • Apex GPT will be in pilot in June 2023.
  • Flow GPT will be in pilot in October 2023.
  • Slack GPT is in beta today, and will be generally available later this year.
  • Tableau GPT will be in pilot in November 2023.