Target’s recent announcement of a chain-wide rollout for their Store Companion chatbot, a GenAI (Generative Artificial Intelligence) tool, has sparked a wave of interest. While the press release (Target Corporation, June 20, 2024) touts benefits like increased efficiency and improved support for team members, some industry watchers are raising questions about the potential impact on...
In today’s rapidly evolving AI landscape, strong governance is more critical than ever as organizations strive to harness the power of AI. Drawing on DataRobot’s ten years of experience in enterprise AI, we have dedicated ourselves to building an AI platform with the highest ranking for Governance Use Case among all 18 recognized vendors by Gartner® in the market and a governance framework that we believe exceeds industry standards.
At DataRobot, we’ve always prioritized establishing a solid AI governance framework that ensures our customers can build, deploy and monitor generative and predictive AI assets with confidence. This framework helps teams maintain the quality and integrity of assets in production which is key in ensuring sustainable value.
We believe this commitment has led us to be ranked the highest in Governance Use Case by Gartner®, with an impressive 4.10 out of 5 governance score. In our opinion, this recognition is a testament to our unwavering dedication to upholding the highest standards of integrity, quality, and transparency across all AI operations.
The Growing Need for Strong AI and Data Governance
With the advent of generative AI, the demand for reliable governance has never been stronger or more urgent. As AI continues to become more deeply embedded across all sectors, the potential risks associated with its deployment grow accordingly.
In 2023 alone, the AI industry saw a 40% increase in reported incidents related to data breaches and model bias, highlighting the urgent need for robust governance frameworks. According to a recent survey by PwC, 85% of AI leaders cite governance as their top concern, emphasizing the importance of trust, confidence, and the security of valuable intellectual property.
At DataRobot, our AI governance capabilities are specifically designed to address these critical needs. Our platform provides comprehensive tools and protocols to bridge the confidence gap for our customers.
DataRobot enables the rapid and secure deployment of machine learning and generative AI applications into production within an average timeframe of 2 to 4 weeks. This accelerated deployment is facilitated by features such as automated compliance documentation, real-time risk management, full model transparency, and most importantly strong guards and intervention methods.
This dual focus on governance and speed means that our customers can maintain a competitive advantage in AI without worrying about reputation damage or costly compliance issues.
Key Governance Features that Set DataRobot Apart
AI has always been a team sport, and generative AI has made AI assets more accessible to a broader set of users, increasing the need for collaboration. Meeting high governance standards across all phases of the AI lifecycle — building, testing, production and management — is a must.
DataRobot Governance Umbrella
The DataRobot Governance Umbrella encapsulates our comprehensive approach to governance standards for both ML and GenAI development and management.
Our AI governance framework is designed to ensure that AI solutions are effective, efficient, and compliant, ultimately ensuring value with AI. It also extends compliance capabilities by ensuring that risk is mitigated across all AI assets throughout the end-to-end AI process:
Build phase: Data scientists and AI practitioners lay the groundwork for creating robust AI solutions.
Testing phase: Models undergo rigorous testing to ensure they meet our standards and perform reliably under various conditions.
Production phase: Models are deployed and managed in a live environment.
Monitoring and management phase: Oversight and governance tools help teams maintain the compliance, integrity and accuracy of AI solutions for operational excellence.
Our framework safeguards AI models and aligns them with operational and compliance goals. To do so, the DataRobot platform offers six unique features that empower each phase in the framework and make DataRobot stand out:
Visibility and Traceability: Full traceability of data, model lineage and versioning ensures that every change is tracked and documented which makes applications safe and useful.
Audits and Compliance Documentation: Automated generation of compliance reports and audit trails to meet regulatory requirements and fulfill transparency.
Unique LLM Evaluation and Testing: Detect potential risks utilizing both synthetic and real datasets to evaluate your predictive and generative AI models and benchmark performance.
CI/CD Testing: The ability to run prototype testing and evaluate ML or generative solutions with quality metrics to rank RAG experiments.
Real-time Intervention, Moderation and Alerting: Continuous monitoring with instant notifications and intervention capabilities enabled by guard models and metrics to address issues as they arise.
AI Catalog: Easily register, track and version all AI assets, whether they were built on or off the DataRobot AI Platform, all through a secure centralized hub.
The Workbench in DataRobot provides an integrated environment for developing AI use cases with features for automated artifact registration for code, prompts, experiments and more. This helps accelerate the creation and iteration of useful AI models without sacrificing safety, or limiting collaboration.
The Registry in DataRobot enables AI practitioners to catalog, version, and govern all AI assets ensuring more control over models. Encryption at rest and the option to bring your own key (BYOK) features ensure that our clients’ information is protected at all times, reinforcing trust and reliability.
Flexibility and Adaptability
The DataRobot AI Platform is one of the most open platforms for AI. We give our users the ultimate control and choice when it comes to their generative AI initiatives. The platform supports custom-built models, third-party APIs, and open source LLMs to prevent vendor lock-in and technical debt, and protect sensitive data.
This flexibility and full governance behind company firewalls ensure that our customers can adapt their AI initiatives to meet evolving business needs with trusted security. Our platform also offers built-in GPU support to accelerate model training and processing, enabling data scientists to handle complex computations promptly.
At DataRobot, we offer equal governance for both predictive and generative AI, ensuring comprehensive oversight and control across all AI models. Our governance framework provides robust tools and protocols, including full model transparency, real-time risk management, and automated compliance documentation. Whether deploying predictive models or generative AI applications, our platform ensures that all AI assets adhere to the highest standards of security, integrity, and accountability. This balanced approach allows our customers to confidently and efficiently manage all of their AI initiatives, knowing that both predictive and generative models are governed with the same level of rigor and precision.
Recognized by Gartner, Trusted by Leaders
Our governance framework has garnered praise from industry analysts, underscoring the real-world value and reliability that our platform provides. In addition to this, DataRobot has also been ranked highest in Governance Use Case by Gartner.
As much as this recognition from Gartner means to us, the most impactful feedback is from our customer community. Their testimonials highlight how our robust governance functionalities have positively impacted their AI initiatives, ensuring safe, successful and confident deployments:
Tom Thomas, VP of Data Strategy, Analytics & Business Intelligence at FordDirect
“DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.”
Arvind Thinagarajan, VP, Data Science & Analytics at Gannett | USA Today Network
“With DataRobot, we’ve already automated multiple steps in the machine learning lifecycle for hundreds of our models. These are models mostly in the realm of predictive AI as of now. This allows us to create efficiencies and saves time for my team of data scientists with steps like data pre-processing, model building, governance of those models, and measuring the performance of those models. We believe that our partnership can extend to the generative AI realm as well.”
At DataRobot, we are committed to enabling our customers to achieve their goals with confidence and excellence. Our Governance, recognized by Gartner and lauded by our customers, in our opinion, underscores our dedication to providing a reliable, transparent, and accountable AI platform. We are proud to be the trusted choice for organizations seeking to leverage AI responsibly and effectively.
Book a product tour and explore how our AI governance and compliance capabilities help you achieve value rapidly and scale AI use cases effectively.
Gartner Critical CapabilitiesTM for Data Science and Machine Learning Platforms, Machine Learning (ML) Engineering, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Tong Zhang, Maryam Hassanlou, Raghvender Bhati, Published June 24, 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT and PEER INSIGHTS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from DataRobot.
Scientists at Nanyang Technological University, Singapore (NTU Singapore), have developed an innovative wearable fabric that is flexible but can stiffen on demand.
A team of engineers at Beihang University, working with a colleague from Center of Advanced Aero-Engine, both in China, has developed a micro-aerial vehicle that flies using direct sunlight. They reported their results in the journal Nature.
Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.
Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots.
In an era when the creation of artificial intelligence (AI) images is at the fingertips of the masses, the ability to detect fake pictures -- particularly deepfakes of people -- is becoming increasingly important. So what if you could tell just by looking into someone's eyes? That's the compelling finding of new research which suggests that AI-generated fakes can be spotted by analyzing human eyes in the same way that astronomers study pictures of galaxies.
Researchers have developed the chatbot Iris, which offers informatics students personalized assistance with programming assignments. A study has now confirmed the chatbot's success: Iris improves the understanding of programming concepts and represents a valuable complement to human tutors.
Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.
Being human-centric, 5IR has far-reaching implications for employees. 5R brings them back onto the plant floor, a step that adds agility and flexibility to automated yet rigid manufacturing processes by enabling the workers to play an active role in decision making.
A team of engineers and roboticists at EPFL in Switzerland has designed and built a gliding drone that can use its wings as a gripping tool to perch on a vertical object. In their project, reported in the journal Communications Engineering, the group created a drone inspired by animals such as bats that can land on vertical poles and tree limbs.
The requirements included automatic pick and place of up to 60 keys per minute, seamless integration with the existing production line and a minimal factory floor footprint.
Imitation learning is a promising method to teach robots how to reliably complete everyday tasks, such as washing dishes or cooking. Despite their potential, imitation learning frameworks rely on detailed human demonstrations, which should include data that can help to reproduce specific movements using robotic systems.
AI design tools are transforming the creative process, unlocking unprecedented potential for productivity and innovation. Imagine creating stunning visuals, presentations, and artwork with just a few clicks, thanks to the power of artificial intelligence.
As part of our ongoing series on AI productivity tools, we’ve already explored AI solutions for scheduling and task management, research, and personal assistance. Today, we dive into the world of AI-powered design and presentation software. In this installment, we’ll examine five leading tools: Canva, Adobe Photoshop, Beautiful.ai, Decktopus, and Midjourney.
We’ll uncover how these tools can elevate your creative projects by exploring their applications, AI features, and overall performance. From generating images and editing graphics to crafting entire presentations, these AI-driven solutions promise to make your design process faster, easier, and more effective than ever before.
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Top AI Design Tools
Let’s explore each of the five AI-powered design tools in detail. We’ll cover their applications, AI features, quality of generated visuals, flexibility, and pricing to help you understand how they can enhance your creative projects.
Canva
Canva is primarily a template-based design tool, recently enhanced with AI-powered features for media generation and editing.
Applications: Canva has a very wide range of applications, including presentations, social media posts, logos, documents like reports or resumes, videos, posters, flyers, and more.
AI Features: Canva allows you to generate media from text prompts, such as images, graphics, and videos. It also offers AI-powered editing tools, like background removal, specific parts editing, image expansion, and text editing within images.
Quality: The quality of Canva’s AI-generated images can be quite good if you have a general idea without needing anything specific. However, more advanced features, like logo generation and object replacement, often perform poorly, and AI video generation is still experimental and unreliable.
Flexibility: Canva is quite flexible when working with templates. While AI-powered features offer additional flexibility in theory, they do not yet work reliably enough for consistent use.
Pricing: The Canva Free plan provides access to most features for individual use. Canva Pro costs $12.99 per month or $119.99 per year, offering more AI tools, a larger template library, and 1TB of cloud storage, with a 30-day free trial available. The Canva Team plan, for a minimum of three people, costs $10 per person per month or $100 per person per year.
Overall, Canva’s combination of user-friendly design templates and emerging AI features makes it a valuable tool for a wide array of design tasks, though its advanced AI functionalities are still developing.
Adobe Photoshop
Adobe Photoshop is one of the leading design tools, renowned for its robust features that allow users to design and edit all kinds of images, protographs, graphics, illustrations, and more. While incredibly powerful and versatile, it is not as beginner-friendly as tools like Canva, requiring a steeper learning curve to master its extensive capabilities.
Applications: Photoshop has a wide range of applications, including illustrations and photographs for marketing, social media, and personal use. Its versatility makes it a preferred choice for professional designers and artists.
AI Features: Photoshop includes many generative AI features for image editing, such as expanding images in any direction, adding or removing specific objects, and editing or removing backgrounds. The Photoshop Beta also allows users to generate images from scratch using text prompts or reference images, with the ability to specify styles to achieve the desired look.
Quality: While Photoshop’s AI features don’t always work perfectly, they are generally reliable. The tool generates three variations for each prompt, usually offering at least one acceptable option. For optimal results, users might need to rerun prompts several times.
Flexibility: Adobe Photoshop is extremely flexible, enabling users to customize any image or illustration with both AI tools and a comprehensive manual toolkit. However, new users might need to invest time in learning how to use the tool effectively to take full advantage of its capabilities.
Pricing: Photoshop is offered starting at $19.99 per month, with a 7-day free trial available for new users.
Overall, Adobe Photoshop stands out for its powerful and versatile design capabilities, although its extensive features come with a steeper learning curve compared to more beginner-friendly tools.
Beautiful.ai
Beautiful.ai is a presentation design tool that leverages AI to simplify the creation of professional-looking slides, making the process quick and easy. Recently, it has been enhanced with additional AI features that further streamline the design process.
Applications: While primarily focused on creating presentations, Beautiful.ai also assists with creating images, charts, tables, diagrams, and other visual elements within those presentations.
AI Features: Beautiful.ai was AI-powered even before the recent surge in generative AI technology. However, recently, it has incorporated many generative AI features that make the presentation creation process even more seamless. Image generation is powered by DALL-E 3, and slide generation is powered by Anthropic. This allows users to create entire presentations or specific slides and images with text prompts. For instance, you can specify the topic of a slide, select the preferred format (e.g., list, diagram, text, image, comparison), and provide additional context by uploading a file, adding text, or linking a webpage. Additionally, the tool includes various text generation features, such as rewriting blurbs, shortening or lengthening text, and correcting spelling and grammar errors.
Quality: Beautiful.ai is convenient for generating an initial draft of your presentation, saving you from starting from scratch. However, depending on the topic and your goals, the presentation will likely require significant editing. While AI slide generation isn’t fully reliable yet, the image generation and text generation features work quite well.
Flexibility: The tool offers considerable flexibility, allowing users to manually edit almost any aspect of their presentations. However, image editing is not an option within Beautiful.ai, so you may need to use other tools for this purpose.
Pricing: The Pro plan for individuals is priced at $12 per month, billed annually. For team collaboration, the Team plan costs $40 per user per month if billed annually, or $50 per user per month if billed monthly. A 14-day free trial is available for those who want to try the tool before committing for a year.
Overall, Beautiful.ai is a powerful tool for creating professional presentations quickly and easily, thanks to its extensive AI features, though some aspects of AI generation still need improvement.
Decktopus
Decktopus is an AI-powered tool designed for creating presentations, offering a wide range of AI features and the flexibility to incorporate your own content and ideas, resulting in more relevant and tailored presentation drafts.
Applications: The tool is focused on creating presentations but can incorporate different media types inside your slides, enhancing the overall presentation experience.
AI Features: Decktopus allows users to create presentations from scratch using AI or based on a PDF document. When starting from scratch, the tool prompts you for the topic, audience, and presentation goal, offering several options to choose from. It then suggests an outline, which you can modify or use as is, followed by a selection of presentation styles. Users can manually edit their presentations using a convenient drag-and-drop editor or seek further assistance from an embedded AI assistant, which can help generate images from text prompts, assist with copywriting, and create personalized notes.
Quality: The designs produced by Decktopus are aesthetically pleasing and easily changeable. However, like other generative AI tools, its AI features do not always work reliably, often necessitating additional manual adjustments.
Flexibility: Presentations in Decktopus are easy to edit and customize. Refining text, whether manually or using AI, works smoothly. However, the tool does not allow for editing generated images, requiring the use of other tools for this purpose.
Pricing: The Pro plan for individuals costs $14.99 per month if billed monthly or $9.99 per month if billed annually. The Business plan is priced at $49.99 per month if billed monthly and $34.99 per month if billed annually. Unfortunately, there is no trial period offered.
Overall, Decktopus provides a powerful and flexible solution for creating presentations, although its AI features may require some manual intervention to achieve the desired results.
Midjourney
Midjourney is arguably one of the best AI image generation solutions available. While it won’t create presentations, diagrams, or complex posters with lots of text, it’s an excellent choice for generating images for articles, blog posts, or social media.
Applications: Midjourney can be used to generate all kinds of images, including photorealistic images, artwork, illustrations, logos, and more. Its versatility makes it suitable for a variety of visual content needs.
AI Features: At its core, Midjourney is powered entirely by AI. Users can generate images using text prompts and then edit them by changing the aspect ratio, extending them in any direction, zooming out, or replacing certain objects within the image. This AI-driven approach offers a dynamic and creative way to produce high-quality visuals.
Quality: Midjourney is capable of generating very high-quality images. However, learning how to write effective prompts may take some time to achieve the best outcomes. The tool may not always follow instructions precisely, and random or weird objects can occasionally appear in the images. Despite this, for non-specific needs, Midjourney can produce impressive images to illustrate your content, offering a viable alternative to buying stock images.
Flexibility: The tool provides a rich set of options for processing and editing generated images. However, the prompt-guided editing process can be somewhat stubborn, often requiring significant time to achieve the desired results. This can be a challenge for users seeking precise control over their image outputs.
Pricing: Midjourney offers a range of plans based on the number of images you want to generate per month. Prices range from $10 to $120 per month if billed monthly, and from $8 to $96 per month if billed annually. This variety allows users to choose a plan that best fits their usage needs and budget.
Overall, Midjourney stands out for its ability to create high-quality images through AI, making it a powerful tool for enhancing visual content. However, it has some drawbacks, such as not always precisely following the prompt and occasionally generating weird objects within the images. Despite these limitations, Midjourney remains a valuable resource for producing impressive visuals.
Conclusion: Elevating Your Creative Workflow with AI
AI-powered design and presentation tools are redefining the boundaries of creativity and productivity. From Canva’s user-friendly templates and AI enhancements to Adobe Photoshop’s powerful, professional-grade capabilities, these tools offer diverse solutions to meet your design needs. Beautiful.ai and Decktopus simplify the creation of polished presentations, while Midjourney excels in generating high-quality images.
Each tool brings unique strengths and some limitations, but together they demonstrate the remarkable potential of AI in the creative industry. Whether you’re a beginner looking for easy-to-use design options or a professional seeking advanced features, these AI tools can significantly enhance your workflow. As AI technology continues to evolve, we can expect even more innovative features that will further streamline and elevate the design process.
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