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Digital Agencies Can Now White-Label Akkio’s Generative BI For Their Clients

Business Wire — Wed, 10 Jan 2024 10:32:09 +0000

Data-driven Digital Agencies and Consultants Can Now Build Branded Generative BI Solutions for Their Teams and Customers, No Code Required

Akkio, the pioneer in generative business intelligence (BI) for digital agencies, launched a new Build-On Package at the Traffic and Conversions Summit in Las Vegas, Nevada to make it even easier for digital agencies to leverage Akkio’s white labeling capabilities. Now agencies can create branded generative BI offerings to differentiate in the market, win new business, and retain more customers as they adopt generative AI.

Generative AI is evolving with breakneck speed into a must-use technology for digital agencies. Industry leading agencies have realized that they can gain a competitive advantage by integrating generative AI into their service offering. Those that are slower to adopt risk losing their book of business to agencies who do. Generative AI solutions that let you analyze and work with data – generative BI – are the next wave of advancement.

Akkio’s Build-On Package lets agencies create fully branded generative BI experiences for their clients – with no lengthy integration project required. Digital agencies can white-label Akkio’s products through a custom URL or a fully embeddable API to unveil new data service offerings to drive revenue, optimize efficiency, and provide added value to clients. Build-On Package users can explore data with natural language via Chat Explore^TM; create branded dashboards, charts, and insights reports via chat; create custom machine learning models, predictions, and forecasts; and drive this all from a REST API.

LA/VIE, one of Akkio’s Build-On Package Partners, has already captured the benefits of integrating Akkio into their paid media strategy service offering:

“One of our larger clients had never hit their return on advertising spend (ROAS) targets before working with us. We had made improvements prior to Akkio, but implementing this AI strategy was the key factor in getting that account to a place of profitability and ultimately, scale.” – Peter Delle, Co-Founder of digital marketing agency LA/VIE, an Akkio Branded Package Partner

The Build-On Package lets an agency:

Create a new Generative BI Service Offering: White-label the Akkio platform to provide a new service for your customers. Let them chat with their data, generate insights, create data visualizations, and view live dashboards – all through natural language chat.
Save Time on Data Analysis: Use Akkio to transform and clean data, discover insights, analyze client results, and create instant customer reports.
Reinforce Client Loyalty With AI Data-Driven Insights: Build predictive analytics applications tailored to your clients’ needs – from lead scoring to forecasting and sentiment analysis. Pre-built connections allow swift deployment to and from your data warehouse and other business platforms. Uncover actionable insights that strengthen bonds and drive satisfaction with your clients.

“AI-driven technologies are evolving and scaling faster than digital marketing companies. The marketing firms that thrive and survive in years to come will be the ones that operationalize the use of these technologies now. We’ve built an AI technology stack on Akkio that allows us to learn from our decades of cumulative campaign management experience and accelerate results.” – Peter Delle, Co-Founder of LA/VIE

Pricing starts at $49 per seat per month, with the Build-On Package add-on available for $999 per organization per month. All organizations start with 1 million rows of connected data and 100,000 predictions per month. Additional data add-ons can be purchased to allow for scale, so your organization only pays for what it needs.

[To share your insights with us, please write to sghosh@martechseries.com]

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Reputation Appoints New CTO To Spearhead AI Product Innovation

PRNewswire — Wed, 10 Jan 2024 10:26:13 +0000

New Technology Leadership Accelerates Platform and Product Development for Customer Performance and Success

Reputation, the global leader in reputation performance management, announced the appointment of Shantanu Sarkar as Chief Technology Officer, effective immediately.

Shantanu Sarkar has led product and engineering teams at public and private organizations through critical phases of business transformation and revenue growth. He was previously Vice President and Managing Director of Cockpit Software Solutions at Aptiv. He also served in key leadership roles at Amazon AI (Alexa), Poly (formerly Plantronics), and Cisco. Shantanu joins Reputation with over 150 patents to his credit, he is an expert in Artificial Intelligence, Machine Learning, SaaS, and Connected Devices.

“Shantanu’s outstanding track record as a product innovator and business leader is the perfect match for Reputation’s next phase of growth,” said Joe Burton, CEO of Reputation. “The company is poised for massive scale, and our new CTO has the right experience to lead our innovation efforts during this phase. As we enter the era of Artificial Intelligence, I am eager to ramp up product and development initiatives to serve our global customers with cutting-edge AI.”

In his new role, Shantanu will play a pivotal role in shaping Reputation’s future by guiding its product strategy to seamlessly enhance the company’s reputation performance platform and industry-leading Reputation Score, a proprietary algorithm backed by Artificial Intelligence that helps companies manage their reputation performance based on public and private consumer review and experience data, down to the location level.

“I am thrilled to join Reputation at a time when generative AI and innovation are impacting companies at an unprecedented rate,” said Shantanu Sarkar, CTO of Reputation. “With Reputation’s proven leadership in reputation management, proprietary Reputation Score that customers use to drive profitability, and more than a decade of public review data, I knew Reputation has something special that other companies do not. I look forward to bringing my expertise to help continue to grow our impact for global customers.”

Shantanu holds a master’s degree in Computer and Information Science from Ohio State University and a bachelor’s from the Indian Institute of Technology, Kharagpur.

[To share your insights with us, please write to sghosh@martechseries.com]

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SiLC Technologies Unveils the Eyeonic Vision System Mini: A Leap in Precision LiDAR Technology

Business Wire — Wed, 10 Jan 2024 09:58:51 +0000

New AI Machine Vision System Offers Unmatched Sub-Millimeter Resolution in a Significantly Reduced Size

SiLC Technologies, Inc. (SiLC), the leading developer of integrated single-chip FMCW LiDAR solutions, announced the launch of the Eyeonic™ Vision System Mini (Eyeonic Mini), a groundbreaking advancement in LiDAR technology. This innovative system, integrating a full multi-channel FMCW LiDAR on a single silicon photonics chip and an integrated FMCW LiDAR System-on-Chip (SoC), sets a new industry benchmark in precision.

Utilizing the industry’s first purpose-built digital LiDAR processor SoC, the iND83301 (“Surya”) developed by indie Semiconductor, the Eyeonic Mini achieves an unprecedented level of detail, delivering an order of magnitude greater precision than existing technologies while being one-third the size of last year’s pioneering model. This latest innovation builds upon the success of SiLC’s first commercial FMCW LiDAR system, the Eyeonic Vision System, founded on an integrated silicon photonics chip and designed specifically for machine vision applications.

SiLC’s Eyeonic Vision Chip, central to the system, amalgamates all essential photonics functions into a coherent vision sensor, delivering a compact solution that meets the demands for performance, affordability and low-power consumption. The system’s exceptional accuracy is driven by a 4-channel FMCW LiDAR chip, complemented by indie’s innovative Surya SoC, and equips robots with sub-millimeter depth precision from distances exceeding 10 meters.

This level of precision opens new doors in automation, particularly in warehouse logistics and AI machine vision applications. For instance, AI-driven palletizing robots equipped with the Eyeonic Mini can fully view and interact with pallets, optimizing package placement and loading onto trucks with efficiency and safety. In the context of the U.S., with its over 13 million commercial trucks, this technology promises to revolutionize warehouse operations and the broader trucking industry, significantly boosting efficiency in loading and unloading processes.

Giving robots the intelligence to see, move, touch, think and learn, Dexterity is working on incorporating SiLC technology into their robot autonomy platform. “At Dexterity, we focus on AI, machine learning and robotic intelligence to make warehouses more productive, efficient and safe,” remarked CEO Samir Menon. “We are excited to partner with SiLC to unlock LiDAR for the robotics and logistics markets. Their technology is a revolution in depth sensing and will enable easier and faster adoption of warehouse automation and robotic truck load and unload.”

“Our FMCW LiDAR platform aims to enable a highly versatile and scalable platform to address the needs of many applications,” added Dr. Mehdi Asghari, CEO of SiLC Technologies. “At CES this year, we’re demonstrating our long-range vision capabilities of over two kilometers. With the Eyeonic Mini we’re showcasing our high precision at shorter distances. Our FMCW LiDAR solutions, at short or long distances, bring superior vision to machines to truly enable the next generation of AI-based automation.”

“The Eyeonic Mini represents the next evolution of our close collaboration with SiLC. The combination of our two unique technologies has created an industry-leading solution in performance, size, cost, and power,” said Chet Babla, SVP Strategic Marketing at indie Semiconductor. “This creates a strong foundation for our partnership to grow and address multiple markets, including industrial automation and automotive.”

For machines to be capable of truly augmenting our lives, their vision solution must be powerful, compact, scalable, and unaffected by complex, unpredictable environments and conditions, including interference from other systems. It must provide motion, velocity, polarization, and precision – prerequisites which exclude existing, time-of-flight-based solutions and instead point to FMCW as the needed platform. FMCW technology enables a new generation of imaging solutions that can directly capture images for AI machine vision, factory robots, home security, autonomous vehicles, and perimeter security applications.

[To share your insights with us, please write to sghosh@martechseries.com]

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Decoding the Grid: A Practical Guide to Generative AI for Utilities

Shriram Ramanathan — Wed, 10 Jan 2024 06:07:15 +0000

After several false starts over many decades, artificial intelligence (AI) has finally proven its worth in helping people achieve faster results and with greater success. Even utilities, which are generally conservative in adopting new technologies, are thoughtfully embracing AI to improve customer experience, operational efficiencies, and infrastructure planning through smarter grid management.

Imagine knowing exactly how much energy is consumed inside every home or business, down to the individual appliance and time of day.

Would your utility’s business managers be able to operate and plan grid infrastructure more efficiently?

Now, imagine knowing what type of appliance each home was using. Would your utility’s marketing team be able to target gas furnace customers for electric heat pump upgrades more accurately and cost-effectively, for example?

The capabilities of today’s AI algorithms are helping utilities do just this by illustrating with precise detail how energy moves along the grid. In just a few clicks, utilities can identify key power loads – including electric vehicle (EV) charging, solar, batteries, HVAC, and water heaters – detect behavior and appliance inefficiencies, track consumption history, filter consumption patterns by geography, income level, and more.

For the first time, utilities can draw meaningful insights from consumption data that lend to smarter decision-making for critical initiatives like time-of-use (TOU) load shifting, distribution planning, and demand-side management.

A Trusted ‘Knowledge’ Repository is Key to Generative AI Adoption in 2024

New in the Evolution of AI

While AI has slowly been developing since the 1940s – and large breakthroughs in the first few decades brought us ELIZA, the first chatbot – it wasn’t until 2011 that the ‘smartness’ of AI started to pick up. Apple integrated Siri into its iPhones, IBM Watson won Jeopardy, and Google’s AlphaGo won the World Go Championship. All of a sudden, AI was on the map for tech and non-tech companies everywhere.

Current AI capabilities – which are considered ‘traditional AI’ – are being used in the utility world to connect what is happening on the grid with how utilities carry out top-level decision-making and day-to-day activities. For example, using AI to analyze power consumption on an hour-by-hour basis, network planners can optimize grid management by running capacity analysis on transformers, feeders, and substations. This enables them to identify areas of the grid that are being overloaded and which areas are capable of withstanding an increase in demand.

Another typical use is taking AI’s ability to detect appliance-level consumption patterns within each home to personalize customer communications that encourage behavioral energy efficiency. Specifically, utilities can send out usage alerts as a house comes close to crossing the high-bill threshold.

Because, AI can draw side-by-side comparisons of homes based on energy consumption, property attributes, individual lifestyles, and geography, utilities are also better positioned to establish benchmarks for initiatives like electrification and demand response. Some utilities are even using these AI-powered consumption insights to identify and prevent meter tampering and tariff misuse.

But the world is entering a new era with generative AI, which promises to be even more powerful.

When traditional AI algorithms see a picture of an elephant, they process the elephant as a whole and can describe it in intricate detail, capturing every pixel. When asked to draw the elephant, traditional AI algorithms will draw that elephant in nearly the same way again and again.

Generative AI, however, is more creative. These ML algorithms instead capture key features of the elephant to draw a different elephant each time.

This evolution brings incremental creativity to the problems around us – the type of creativity most of us have to apply on a day-to-day basis – and allows organizations to enhance operations from the top down without drastic restructuring of business models.

Although generative AI is still in its infancy in regards to scaled adoption and implementation, recent research from Capgemini Research Institute revealed that 33 percent of utility and energy companies worldwide have begun to pilot generative AI and almost 40 percent of utility and energy companies have established a dedicated team and budget for generative AI.

While Capgemini notes high-tech and industrial manufacturing as the two industries at the forefront of generative AI, it is perhaps more interesting to see industries notoriously slower to adopt technological innovations (like utilities) are supporting generative AI at the same pace as its tech-savvy counterparts.

Generative AI for Utilities

As impressive as Siri was when it was first introduced, generative AI is garnering that same admiration.

Generative Pre-trained Transformer 4 (GPT-4) passed the Bar Exam with flying colors, so it’s not difficult to imagine how applying this resource will continue to improve utility operations.

Traditional AI is incredibly valuable in analyzing data, which for utilities means appliance detection, consumption profiling, and everything that comes from this sophisticated energy intelligence like segmenting customers, sending automatic high-usage alerts, etc. With generative AI, utilities have the power to further amplify operations.

Implementation of generative AI within areas like call centers to reduce time spent on the phone with customers will be the most obvious and low-risk use of AI in the near term, it is also low-hanging fruit for most utilities. Where utilities will see the greatest impact overall, however, will be grid planning and management.

For instance, as utilities currently work to support rising EV adoption they rely on human input to determine their EV charging infrastructure strategy. This means planning when, where, and how many EV chargers to install at any given location. In the absence of much historical data (which is what traditional AI depends on), such a task requires significant amounts of creativity around human behavior as well as a firm understanding of how charging infrastructure is likely to affect EV purchases, demographic changes, and even real estate availability. This now is a task well suited to be tackled by generative AI.

Another great example is the use of generative AI chatbots by utility business managers, not just customers. Utility managers can interact with underlying big data in a natural language mode via initial questions such as, “Which five substations have the highest solar penetration?”

They can then dive deeper with follow-on questions such as:

“How many EV drivers are at this substation?”

“How many of those users have both solar and EVs?”

What are the time of use patterns for these users?”

With this, grid planners can easily identify areas of focus within minutes, rather than the weeks that it would have taken an analyst to download and analyze the data before answering these questions.

A Smarter Energy Future with Generative AI for Utilities

AI-powered consumption insights at this level can unlock considerable financial savings for utilities. EV load shifting can save utilities upwards of $1,350 per EV every year in bulk system investments and $1,090 per EV every year in distribution system investments – a financial benefit that compounds as adoption grows.

And, that’s just the beginning.

McKinsey Global Institute estimates AI and machine learning can drive $2.6 trillion to $4.4 trillion annually in business value. This could mean $200 billion in value add for the U.S. utility industry thanks to AI helping utilities avoid costly and unnecessary infrastructure upgrades, improving grid planning, reducing operating spending, and more.

While full-scale adoption of AI strategies may be decades away, the success of early pilot programs and projects proves there is no reason to wait. Utilities can start working more efficiently today – both in terms of employee workload and by uncovering new business opportunities – and build a stronger, more reliable grid.

[To share your insights with us, please write to sghosh@martechseries.com]

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Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates

AIT Staff Writer — Tue, 09 Jan 2024 21:30:15 +0000

This is our AI Daily Roundup. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions.

We cover the role of AI Daily Roundup and its application in various industries and daily lives.

Qrypt Joins NVIDIA Inception

Qrypt, the pioneering quantum-secure encryption company, announced its acceptance into NVIDIA Inception, a program that nurtures startups revolutionizing industries with technological advancements.

AppsFlyer Unveils Cutting-Edge AI Solution for Elevating Marketing Campaign Creativity and Performance

Accenture to Expand Network of Generative AI Studios Across Asia Pacific and Latin America

Accenture is setting up generative AI studios in nine countries across Asia Pacific and Latin America to respond to growing client interest in the technology. Studios across Australia, Argentina, Brazil, Greater China, India, Japan, Mexico, Philippines and Singapore will connect clients with data and AI experts from Accenture, and ecosystem partners, ventures, and other strategic investments to enable rapid experimentation, co-creation and scaling of generative AI solutions using Accenture’s responsible AI framework as a foundation.

Zendesk Signs Definitive Agreement To Acquire Klaus

Zendesk announced it has signed a definitive agreement to acquire Klaus, the industry leading AI-powered quality management platform. AI is driving a rapid increase in customer interactions and radically transforming the world of customer service. Customer service teams are being asked to increase their ROI by managing a rising volume of interactions while providing quality service, and increasing their organization’s efficiency in the process.

Siemens Delivers Innovations In Immersive Engineering And Artificial Intelligence To Enable The Industrial Metaverse

Siemens unveiled innovations that are combining the real world and the digital worlds to redefine reality as it opened CES 2024, the world’s leading technology gathering. Siemens announced new partnerships and breakthroughs in AI and immersive engineering to enable the industrial metaverse, and highlighted how these technologies are empowering the world’s innovators to thrive using its open digital business platform, Siemens Xcelerator.

[To share your insights with us, please write to sghosh@martechseries.com]

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TSPi and Google Public Sector Modernize U.S. Government Commerce and Trade Missions using AI/ML tools

PRNewswire — Tue, 09 Jan 2024 18:04:23 +0000

TSPi, a leader in modern data-led IT transformation and a Google Partner, announced the successful use of their R3 nxtData accelerator built on Google Cloud to modernize U.S. Government regulatory food import monitoring missions. TSPi’s R3 nxtData accelerator allows government agencies to rapidly deploy modern data and AI/ML technologies that improve efficiency, increase performance, and accelerate success.

TSPi leveraged Google Cloud to automate predictive analytics and trained machine learning (ML) models to scan food import data and detect anomalies indicating non-compliance. Through advanced analytics, artificial intelligence and machine learning (A/AI/ML) solutions, nxtData guided the government towards effective decision making allowing for substantial gains in audit coverage and regulatory compliance.

“Our nxtData accelerator and close work with Google Public Sector further enables TSPi to transform citizens’ services by advancing our clients’ modernization journey,” said Vishal Suri, CEO, TSPi. “We look forward to working with Google Public Sector to help more federal clients modernize their operations and better engage with their constituents through our nxtData accelerator.”

“Partners like TSPi are critical in helping our joint clients drive more effective results,” said Liz Combs, head of Federal Civilian Partner Ecosystem, Google Public Sector. “By working with TSPi and leveraging their experience with Google AI technologies, we can empower even more federal clients to help boost efficiency, innovate faster, and deliver improved outcomes, while helping them continue to meet constantly changing policies and mission demands.”

[To share your insights with us, please write to sghosh@martechseries.com]

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AppsFlyer Unveils Cutting-Edge AI Solution for Elevating Marketing Campaign Creativity and Performance

Business Wire — Tue, 09 Jan 2024 17:23:14 +0000

Creative Optimization empowers marketing teams to drive significant results with optimized creative decisions and precise ad campaigns

AppsFlyer, the global leader in marketing measurement, attribution, and data analytics, launched Creative Optimization, its new product that provides marketers with unparalleled insights into their creative assets and data-driven guidance on maximizing their impact. Coupled with Artificial Intelligence (AI), Creative Optimization identifies patterns, trends, and features that drive optimal audience engagement, enabling marketers to capture the most value from their ad spend while enhancing the effectiveness of their creative content and campaigns.

Creative Optimization empowers stakeholders across performance marketing, creative, and Business Intelligence (BI) teams to collaborate to craft diverse asset variations, test, and validate winning variables within advertisements – saving time and resources while elevating performance. Marketing teams now possess the tools to make creative decisions that marry human intuition with the precision, speed, and scalability of the AI capabilities embedded within the product.

“The new Creative Optimization product presents a real breakthrough for marketers, bridging the gap between creative and growth marketing teams while addressing key pain points to drive success for both,” said Yevgeny Peres, EVP of Product Strategy at AppsFlyer. “By delivering sophisticated, in-depth creative insights, it enables growth marketing teams to optimize spend, increase scale, and drive profitability by automatically identifying which creatives perform best in campaigns. Simultaneously, it equips the creative team with valuable insights on the attributes of winning creatives, empowering them to focus on the most effective elements and allocate their time and resources more efficiently. This seamless collaboration closes the feedback loop, boosts confidence in creative production, reduces risk by minimizing investment in underperforming creatives while scaling the production of winning ones to drive profitability at scale.”

AppsFlyer worked with more than 100 companies, including fintech company Dave and mobile gaming leader Papaya Gaming, through the development and testing of Creative Optimization over the last year. Companies across gaming, fintech, e-commerce, and entertainment industries employed the product to enhance their marketing efforts to great effect. Brands utilizing the product were able to grow their ad spend by as much as 300% while seeing vast improvements in key performance indicators. Campaigns resulted in increases in ad click-through rates of up to 50%, decreases in cost-per-install by as much as 30%, and saw up to 100% uplift in customer retention and revenue metrics.

“AppsFlyer’s Creative Optimization has been a game-changer for our cross-team creative collaboration efforts,” said Christian Espinoza, Senior Marketing Technology Manager at Dave. “We’ve seen a significant increase in efficiency, and it’s transformed our creative optimization process by providing a deep understanding of what works best on specific channels and allowing us to extract maximum value from our top-performing assets. We’ve seen a major increase in efficiency – what used to take us 8-10 hours a week, we can now effortlessly pull and share reports with the creative team, making data-driven decisions without the need for manual data extraction or platform hopping.”

“Creative Optimization is transformative for our campaigns, allowing our marketing team to reach larger audiences, improve our efficiency and collaboration,” said Dan Hayoun, Performance Group Manager at Papaya Gaming. “This has led to great results and helped turn the creative marketing process into a growth engine across our award-winning portfolio of games. As a leader in the next generation of gaming, we are constantly looking for cutting edge tools that can help us operate on a larger scale, while providing the best options for attracting and retaining players to continue growing our business.”

Creative Optimization enables users to marry best-in-class AI creative capabilities and AppsFlyer’s analytics-driven dashboards to deliver the most efficient and effective campaigns:

AI-powered insights for maximizing ad spend and creatives’ effectiveness. Creative Optimization automatically analyzes creative assets, breaking them down into scenes, and provides performance data and guidance for effectively replacing underperforming elements.
Access granular performance data to uncover the winning formula for your creative strategy. Creative Optimization aggregates all creative performance data in one place, providing an unbiased, comprehensive overview of creative performance, including cost, installs, clicks, and down-funnel metrics like retention, lifetime value and more.
Turn creative performance into meaningful data for your BI system. Creative Optimization consolidates all creative data, offering a reliable and up-to-date system that incorporates recent changes in the marketing ecosystem. This streamlines the data integration process and ensures a credible and trustworthy source for creative data within the BI system.

[To share your insights with us, please write to sghosh@martechseries.com]

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Xaba Raises $ 2Million for Intelligent Self-Programming Robots in Manufacturing

Business Wire — Tue, 09 Jan 2024 17:22:53 +0000

Funding will enable Xaba to democratize robotic automation and drive sustainable manufacturing

Xaba, developer of the first AI-powered cognitive software solution to automate programming and deployment of robotics and CNC machines, announced it has raised US$2 million in a seed extension round of funding to bring to market AI-driven fabrication processes and intelligent autonomous machines. The funding round was led by BDC Capital’s Deep Tech Venture Fund with participation from Hitachi Ventures and existing investor Hazelview Ventures. The investment will be used to establish and staff a new robotics lab and accelerate the delivery of two Xaba manufacturing platforms.

Xaba is augmenting industrial robots and cobots with xCognition, an artificial intelligence (AI)-powered software solution. xCognition leverages innovative proprietary machine learning algorithms to model the elasto-mechanical-dynamic behavior of industrial robotics and cobots, as well as workpiece variances. This includes variances in location and shape, using proprietary rule-based language models to eliminate coding of robotics programs. xCognition solves the challenges of deploying industrial robots by completely automating how they are programmed and adopted. This solution not only increases accuracy, consistency, and throughput, but also significantly reduces the time and costs of robotics deployments.

“AI represents a wave of change in the automation industry, removing significant barriers to technology adoption in manufacturing and other industrial sectors. Xaba is a great example of how the integration of AI is empowering industrial robotics technologies – enabling them to self-generate programs, substantially improve their accuracy and precision, and provide highly valuable feedback to users,” said Thomas Park, lead partner of BDC Capital’s Deep Tech Venture Fund. Concurrent with the funding round, Park has been appointed to the Xaba board of directors.

This year, Xaba partnered with Lockheed Martin and Rolleri Robotic to demonstrate 10 times performance improvements in absolute positioning, and five times improvements in relative positioning and trajectory accuracy for cobots using Xaba’s manufacturing platforms.

“With the integration of AI-powered cognition and awareness, robots become easy to adopt and profitable for businesses across various tasks and sizes,” said Massimiliano Moruzzi, CEO of Xaba. “With this funding in place, we can now establish our Xaba manufacturing platforms as the go-to solutions for implementing new intelligent robotics, creating automated factories, and developing disruptive new processes and materials.”

“Cognitive systems will be the future of next generation robotics and Xaba’s AI-based software solution has demonstrated that it can elevate the performance of high precision robotics such as welding and drilling by enabling adaptive learning, real-time decision-making, and seamless human-robot collaboration,” said Gayathri Radhakrishnan, Partner at Hitachi Ventures. “As a well-known force in this industry, with a strong focus on robotics and manufacturing, an investment in Xaba gives us the ability to explore this domain further.”

Industrial Artificial Intelligence Solutions for Manufacturing

Xaba has two manufacturing platforms – xCognition and xTrude – which use proprietary, state-of-the-art industrial artificial intelligence (AI) to provide AI-powered cognitive industrial automation, consistency, robustness and high execution quality. Its platforms eliminate the need for constant human supervision, reprogramming, and waste – factors that significantly impact the return on investment of any major manufacturing or construction process.

xCognition is Xaba’s AI-powered software solution. This industrial robotics digital twin captures and models the true physics of any industrial robotics system (elastic, dynamic, mechanical, tooling). This includes workpiece variances both in location and shape, leveraging rules-based language models and multi-modal datasets that capture legacy data and best practices to enable any robotics system to execute tasks such as drilling, welding (MIG, TIG & Laser), assembling, riveting, laser, data acquisition, and more with maximum accuracy, repeatability, and minimum human supervision.

[To share your insights with us, please write to sghosh@martechseries.com]

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Thoughtworks Looking Glass Report Spotlights Strategy, Security and Responsibility in AI Solutions

Business Wire — Tue, 09 Jan 2024 16:04:24 +0000

Thoughtworks a global technology consultancy integrating strategy, design and engineering to drive digital innovation, released the fourth edition of Looking Glass, a report designed to help companies navigate industry shifts and identify new opportunities. Five chapters, known as lenses, analyze trends in technology and identify concrete opportunities and actionable advice.

Generative Artificial Intelligence (GenAI) is finding its way into every part of business as it becomes more available, accessible and applicable to many people. A solid data strategy and clear goals will be required to take advantage of the opportunities. GenAI (or AI) is indiscriminate with what it speeds up, good or bad, wrong decisions can be made even faster than before AI. In order to protect themselves from risk, businesses must focus on making data findable, accessible, trustworthy, interoperable and reusable, all in a highly secure and privacy-conscious way. Data platforms with a product-thinking mindset provide the most viable foundation for success.

“Data platforms enable businesses to gather data insights, build reliable AI systems, control risk and can also be a key component in creating, managing and enforcing data governance. The latter is one of the biggest challenges many organizations face,” said Rachel Laycock, Chief Technology Officer, Thoughtworks. “Yet it doesn’t stop there. Having control over the direction and output of AI systems is part of responsible technology practice and is essential to mitigating against unintended consequences.”

The five lenses in Looking Glass 2024 report are:

AI everywhere: The ability to effectively integrate AI to make people better at their jobs will be key to the success of enterprises in the future. Organizations will need to be deliberate about which technologies they can benefit from and how they will be used.
Realizing value from data and AI platforms: While critical to an AI strategy, a data platform with reliable access to credible, up-to-date data is vital for all enterprises, even those not planning to build GenAI applications in the short term.
Evolving interactions: With everything from voice interfaces to extended reality, existing solutions are becoming more immersive and seamless. Organizations need to reimagine how they engage with, learn from and delight stakeholders.
Accelerating physical-digital convergence: Software is a core component of everything from vehicles to home appliances. It’s not just organizations with a connection to the physical environment that need to bridge the gap between the real and the virtual — we expect this to affect any organization that is not a pure digital play.
Responsible tech – a critical consideration: Guardrails around privacy, security and sustainability need to be firmly embedded in an organization’s approach to technology.

Thoughtworks’ Looking Glass is updated on an annual basis to keep pace with the constant shifts in technology possibilities and business priorities.

[To share your insights with us, please write to sghosh@martechseries.com]

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RoEx Unveils Standalone Mastering in AutoMix, Redefining Audio Excellence

AIT News Desk — Tue, 09 Jan 2024 13:10:46 +0000

RoEx,a pioneer in the audio industry, proudly introduces a groundbreaking feature that is set to bring its sparkle to the world of sound engineering – Standalone Mastering in AutoMix. This innovative offering by RoEx promises to redefine how musicians, producers, and audio enthusiasts approach the mastering process, delivering unprecedented control and efficiency.

Mastering has traditionally been a complex and time-consuming process, often seen as a bridge between a good mix and a professional-sounding final product. RoEx’s latest feature aims to democratise this process, making it more accessible and efficient for all creatives and producers.

Image: RoEx Standalone Mastering in Automix

With Standalone Mastering in AutoMix, RoEx empowers users to take charge of their audio mastering with unparalleled ease. The feature is designed to provide a seamless and intuitive experience, allowing musicians and producers to achieve professional-grade sound without the need for extensive technical knowledge. RoEx’s state-of-the-art technology automates intricate mastering processes while affording users the flexibility to fine-tune and personalise their sound effortlessly.

One of the standout features of AutoMix’s new mastering capability is its speed. The software can master a 3-minute track in approximately one minute. This rapid turnaround is a potential game-changer for professionals working under tight deadlines and those eager to experiment with different mastering settings on their tracks.

Still, RoEx stresses that while mastering has the power to boost a track’s quality, it won’t be able to rectify a flawed mix as a strong mix forms the foundation for successful mastering.

In addition to this, AutoMix offers an all-in-one integrated solution for achieving a balanced mix, which is crucial for a successful mastering process, leading to a top-notch mastering result. In a nutshell, RoEx’s new feature, Standalone Mastering in AutoMix, is ready to make mixing and mastering more accessible, opening up new possibilities for both pros and emerging artists in their musical journeys.

Key features of Standalone Mastering in AutoMix include:

Automated Precision: RoEx’s advanced algorithms automatically analyse and enhance audio tracks with precision, ensuring a polished and professional sound.
User-Friendly Interface: Prioritising user experience, RoEx offers an intuitive interface that makes mastering accessible to users of all skill levels. The simplified controls allow for easy adjustments and customization.
Time Efficiency: By automating the mastering process, RoEx enables users to save valuable time without compromising on the quality of the final output. Musicians can focus more on their creative process, confident that RoEx will handle the technical intricacies seamlessly.
Versatility: Standalone Mastering in AutoMix adapts to various audio production needs, providing a versatile solution for musicians working on a single track or an entire album.

“AutoMix’s new standalone mastering feature ensures a precise and genre-appropriate sound,” comments David Ronan, RoEx CEO. “Whether you’re aiming for a loud, radio-ready sound or a more dynamic range for streaming platforms, AutoMix adjusts the final master accordingly.”

RoEx continues to push the boundaries of audio technology, and Standalone Mastering in AutoMix is a testament to the company’s dedication to innovation. This feature aligns with RoEx’s mission to democratise high-quality audio production tools, making professional sound accessible to a broader audience.

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