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98% manufacturers face data woes that stifle innovation and time to market, Hexagon’s report reveals

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COBHAM, England, March 7, 2024 /PRNewswire/ — Manufacturers that fail to get their data in order risk being left behind their rivals, a new report from Hexagon reveals. The global survey of more than 500 manufacturing leaders, conducted by Forrester Consulting and commissioned by Hexagon, found that 98% of manufacturers report at least one issue with data within their organisation. Leaders are considering real-time collaboration, AI and automation, but persistent data challenges stifle innovation and impede the roll-out of such advanced manufacturing technologies.

Key findings:

Major challenges with data availability and quality are impeding the roll-out of advanced technology such as digital twins, automation and AI in manufacturingIt is compounding issues with workplace collaboration, impacting productivity and time to marketNearly 40% of manufacturers are automation laggards and risk being left behind their rivals that are prioritising data-driven productivity and automation

Published today, the Advanced Manufacturing Report uncovers evidence of fundamental shifts in how high-value products are designed and manufactured through three fundamental digital enablers – data quality and availability, workforce collaboration and empowerment, and automation.

Data utilisation and collaboration – manufacturers’ big headache

These data woes contributed to 97% of manufacturers facing challenges in collaboration and productivity, which can impact their ability to innovate and delay responding to customers’ needs. The majority of business leaders realise that better collaboration can improve product quality (88%), time to market (86%), also improve sustainability – with 82% of respondents believing better communication between design and manufacturing teams can significantly reduce material waste and emissions. Despite this, almost three-quarters (71%) of business leaders are concerned about the lack of synergy between their design and manufacturing teams.

Josh Weiss, president of Hexagon’s Manufacturing Intelligence division, comments: “It’s ironic that manufacturing invented the automation and agile practices that are driving business transformation in other industries and is now struggling to transform – but that’s because achieving digitalisation throughout manufacturing value chains is a very real, complex, and human challenge. Digital twins are crucial to making factories smart, they enable teams to solve problems across departments, to innovate, and that same high-quality data underpins productivity-superchargers such as AI and robotics.

“Those that empower their organisation to use data right now can drive more efficient value creation and get products to market faster with the agility to adapt to market conditions. We saw it when consumer electronics led the shift to rapid product innovation, and now BYD has shaken the automotive sector by overtaking Tesla as the electric vehicle market leader, emphasising the need to transform productivity and innovation throughout the manufacturing value chain.”

The research surveyed manufacturing leaders from North America, Asia and Europe. 24% of respondents were C-level executives. It found that while access to high-quality data appears to be a universal issue, Asian manufacturers are more confident applying their data – for example using simulation, virtual manufacturing and predictive maintenance to predict and avoid problems downstream when the financial impacts can be severe.

Digitalisation leaders surge ahead with data underpinning time to market and Industry 5.0

With only 2% of manufacturers claiming to be problem-free with their data practices, a vast majority of companies risk missing their business goals if they fail to act now. Manufacturing business leaders cited improving operational efficiency, increasing manufacturing output and improving the quality of new products faster, as their top business priorities for the next three years – all of which could be impeded by not making the organisation-wide cultural and technical changes required to succeed with digitalisation.

The findings also indicate that 37% of manufacturers are falling behind their rivals and should be considered ‘laggards’, as they have failed to highly or fully automate any phase of their manufacturing process. This is compared to a quarter of manufacturers that should be considered the ‘leaders’ in the market, as they have highly or fully automated at least two phases of their manufacturing processes.

The research shows industry leaders gain a distinct edge in workforce productivity and efficiency over laggards:

58% of leaders report increased staff productivity and innovation versus 35% of laggards.39% of leaders effectively address talent shortages, compared to 26% of laggards

Manufacturers globally are looking to advanced automation technologies to boost productivity. Interestingly, 58% of Asian companies plan to invest in AI-powered, or generative, automation over the next three years compared to less than half of manufacturers in North America (45%) and EMEA (38%).

The research was commissioned by Hexagon and conducted by Forrester Consulting in May 2023 to understand how technology is shaping their strategies today and for the future. The Advanced Manufacturing Report provides in-depth analysis throughout the value chain from product design to finished product and quality processes, spotlighting trends and providing valuable insight into the challenges manufacturing leaders face, their successes and new opportunities.

Explore the Advanced Manufacturing Report findings at: https://hexagon.com/advanced-manufacturing-report

About Hexagon

Hexagon is the global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. 

Our technologies are shaping production and people related ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon’s Manufacturing Intelligence division provides solutions that use data from design and engineering, production and metrology to make manufacturing smarter. For more information, visit hexagon.com/mi.

Hexagon (Nasdaq Stockholm: HEXA B) has approximately 24,500 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.

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Ally Waste Acquires Swift Integrated Services, Expanding Service Capabilities and Market Reach

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GILBERT, Ariz., Sept. 3, 2026 /PRNewswire/ — Ally Waste, a nationwide provider of comprehensive waste solutions for multifamily communities, announced today that it has acquired Swift Integrated Services, a Utah-based provider of dumpster management, doorstep trash pickup, and waste brokerage services.

“Every acquisition we make starts with the same question: Will it help us serve customers better? Swift expands our reach and brings capabilities that allow us to support more of our customers’ waste needs. We’re excited to welcome the Swift team to Ally and build on what they’ve created,” said James Crawley, CEO of Ally Waste.

The acquisition expands Ally Waste’s presence in Utah, Florida, and Idaho markets while strengthening the company’s waste stream optimization capabilities. It also brings waste brokerage capabilities to Ally, giving current customers another way to address their waste needs as the offering is integrated.

“Joining Ally gives us the opportunity to build on what we’ve created while bringing our customers the support and resources of a nationwide team,” said Indigo Schumann-Curtis, President of Swift Integrated Services. “Our customers can expect business as usual, with many of the same people continuing to support them. I’m excited about what our teams can accomplish together.”

Swift Integrated Services customers can expect continuity in both service and support throughout the transition. The Swift team will continue with Ally, bringing established customer relationships and deep market knowledge to the combined organization.

About Ally Waste

Ally Waste is a nationwide provider of comprehensive waste solutions for multifamily communities, including valet trash and recycling, bulk removal, and waste stream optimization services. Its technology gives owners and operators clear visibility into what they’re paying for waste across a portfolio, paired with on-the-ground teams who put those insights into action.

The company’s culture is grounded in its values of Integrity, Grit, and Humility. These principles drive Ally Waste’s commitment to supporting multifamily teams and delivering consistent, high-quality service that improves everyday life for residents and on-site staff. Learn more at www.allywaste.com.

Media Contact:
Doridé Uvaldo
duvaldo@allywaste.com

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SOURCE Ally Waste

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Gupshup Launches Self-Serve Voice AI Platform, Extending Conversational Engagement into Phone Calls

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Businesses can now build, test, and deploy AI voice agents across support, sales, and operations – alongside WhatsApp, RCS, and SMS – from a single platform

MUMBAI, India and SAN FRANCISCO, Sept. 3, 2026 /PRNewswire/ — Gupshup launched its Voice AI Platform, a self-serve console for building and running AI voice agents that handle calls end to end. The launch extends Gupshup’s engagement platform from messaging into voice, bringing support, sales, and operations onto the same infrastructure businesses use for WhatsApp, RCS, and SMS.

Gupshup’s Voice AI Platform resolves support calls, qualifies and converts leads, and automates operational calls such as scheduling, verification, and payment reminders, so human teams can focus on conversations that require a person.

The platform covers agent lifecycle in a no-code, prompt-based interface. Businesses configure an agent’s voice, language, knowledge base, system prompt, and workflows, then connect it to tools their teams use. Before going live, teams define guardrails, run simulations, and validate behaviour with tests – comparing models. Once deployed, analytics track success rates, satisfaction, and language usage, with transcripts, conversation history, and debug logs for review.

Gupshup’s platform is the first to bring unique capabilities. First, voice is a channel extension of a platform serving businesses across WhatsApp, RCS, and SMS – enabling voice-and-messaging experiences within a customer journey. Second, it supports telephony: PSTN and WhatsApp voice channels, on-premise and cloud deployment, and the option to bring PSTN infrastructure. Third, it is model-flexible – businesses choose speech-to-text, text-to-speech, and LLM providers rather than accepting a stack.

The platform builds on Gupshup’s experience powering customer engagement for 50,000+ businesses across 100+ countries and 25+ industries, processing 10 billion interactions monthly, including 500 million voice calls per month.

The Voice AI Platform has been beta tested and delivered outcomes across deployments. Users receive 100 minutes of credits to test, and pricing starts at USD 0.035 (INR 3.50) per minute.

“For customer engagement in emerging markets, Voice AI drives universal access – reaching every user regardless of language or literacy. In developed markets, it drives efficiency and automation. In both, it delivers cost savings, revenue growth, and satisfaction. With the launch of its Voice AI Platform alongside its messaging, Gupshup offers the only unified self-serve platform for customer engagement across voice and messaging,” said Beerud Sheth, Co-founder and CEO, Gupshup.

The Voice AI Platform is available to businesses at voiceai.gupshup.io.

For more information, visit www.gupshup.ai.

 

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SOURCE Gupshup Technology India Pvt Ltd

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Deepdub Launches Phantom Z 3.4 Conversational: Multilingual Text-to-Speech Built to Survive Real Customers, Not Just Demos

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Enterprise-grade real-time text-to-speech delivers 150ms time to first audio at full 48 kHz, with text normalization that gets account numbers, invoice totals and appointment dates right

TEL AVIV, Israel, Sept. 3, 2026 /PRNewswire/ — Deepdub, a foundational voice AI company pioneering expressive voice technologies, announced today the launch of Phantom Z 3.4 Conversational, a new multilingual text-to-speech model with high-fidelity 48 kHz audio, improved text normalization and extended Hebrew support. The model is available to all Deepdub clients now.

For enterprises running voice agents, a call holds together when four things go right at once. The voice sounds like a person. The response arrives fast enough to feel like a conversation. The agent knows when to speak and when to listen. And every account number, date and amount comes out the way a customer would say it. When one of them slips, the call escalates to a human, and that is where containment and cost are decided. Phantom Z 3.4 Conversational is built for all four.

“Every voice model sounds impressive for two minutes in a demo. Very few survive two weeks with real customers,” said Ofir Krakowski, CEO and co-founder of Deepdub. “Deployments don’t stall on the 95% a model gets right, they stall on the misread account number, the mangled surname, the one wrong digit on a live call. We built this model for that last few percent, because in production, the last few percent is the whole product.”

In English, the work is in text normalization, the step that turns written text into spoken words. A delivery date written 2024-12-31 is read as December thirty first, twenty twenty-four rather than as a run of digits. An invoice total written $1,240 is read as one thousand two hundred forty dollars. An appointment at 14:30 is read as two thirty. A reference written Chapter VII is read as chapter seven rather than as letters. These are the categories where Deepdub’s testing puts the model ahead of the other systems it was measured against. An enterprise running more than one language gets one set of behavior to test and one contract to hold rather than two.

Phantom Z 3.4 delivers an end-to-end p95 time-to-first-audio of 150 milliseconds in real-time mode at full-range 48 kHz audio, with cross-language voice transfer from under three seconds of reference audio. Deepdub builds and trains its own speech models from random rather than licensing them, which allows the company to bring a new language into production in two weeks. Deepdub covers more than fifty locales and dialects verified by local voice and language experts, inside a platform supporting more than 50 locales and dialects.

“We run Deepdub in production for live, real-time phone calls, where latency and naturalness aren’t nice-to-haves but the key factor in whether a caller stays on the line. 3.4 is the closest we’ve heard a synthetic voice come to a real person, and our callers show it: they stay longer, talk more, and engage with our agents like we’ve never seen before,” said Adir Haziza, CTO at Voiceman.

The hardest case is Hebrew, which is written without vowels, so the same letters can spell different words. The three letters of שלט are a sign read one way and a remote control read another. A model that reads one word at a time has to guess which the sentence means, and in Hebrew a wrong guess is not an accent, it is a different word that stays invisible until a customer hears it. Phantom Z 3.4 resolves this at the source. Pronunciation is decided from the whole sentence rather than word by word, and every instance of שלט in Deepdub’s Hebrew test set was read correctly. Where a brand name or a plan tier has to be said a particular way, marking it in the text is enough. Deepdub ranks first for Hebrew text-to-speech on the public TTS Arena leaderboard hosted by ivrit.ai on Hugging Face.

In Hebrew, national ID numbers, appointment dates and transaction amounts are expanded before speech, so a balance written as 1,240 ₪ is spoken in full rather than read out as digits. In blind listening tests, Phantom Z 3.4 was preferred over Deepdub’s previous Hebrew model in 71 percent of decisive comparisons.

“We needed something that would hold up consistently across a large volume of work, so we tested it thoroughly before deciding. What stood out was that the details came out right and the Hebrew was the most natural we’d heard,” said Dor Levy, Head of Jeen Talk at Jeen AI.

About Deepdub
Deepdub is the foundational voice AI model company pioneering expressive voice technologies for global enterprises across TV, film, advertising, gaming, e-learning, and AI-agent applications. The company’s international team of technology, dubbing, and linguistic experts deliver an end-to-end voice solution that preserves the emotional and cultural integrity of original content in more than 50 locales and dialects. With an advisory board that includes media leaders such as Kevin Reilly, former Chief Content Officer at HBO Max, and Emiliano Calemzuk, former President of Fox Television Studios, Deepdub is eliminating language barriers to enable the global diffusion of media on major streaming platforms like Netflix, Amazon Prime, and Hulu. Visit https://deepdub.ai or follow us on LinkedIn for more information.

Deepdub Media Contact
Zivit Katz
Deepdub
zivit.katz@deepdub.ai

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SOURCE Deepdub

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