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Why Inclusive Entrepreneurship Could Mean More Time For Healthcare Employees To Save Lives

Throughout the pandemic, businesses and individuals have been reminded of the fragility of time and the notion that it can never be recovered. With pre-pandemic routines shifting, organizations and their employees are now questioning how to make more time for the things that matter most. Perhaps the industry hit hardest by this is one that is arguably the most in need of more time— healthcare.

Healthcare employees traditionally must complete lots of administrative work because of strict industry regulations. This has only amplified during the pandemic. Additionally, healthcare professionals often waste time doing indirect patient care like searching for medical supplies or time reporting for regulatory and billing use. Unfortunately, this pattern hinders care efficiency and takes focus away from the patient.

High-intensity and unsafe work environments have quickly revealed the pivotal role healthcare organizations play in decision-making that protects the needs of frontline employees. With 42% of physicians experiencing burnout, Kishau Rogers launched healthcare startup Time Study already knowing the solution must not just improve operational efficiency, but it must enhance the lives of the people treating the patients.

Valuing the Time of Healthcare Employees

Time Study is a system of time management that focuses on the heartbeat of the healthcare industry: humans. The cloud solution uses intelligent time tracking to monitor how physicians and other healthcare employees spend their time at work. This equips hospitals with data insights to make human-centered business decisions that improve the employee and patient experience.

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Omnichannel Insights for Marketing Decision Support

An old adage goes like this: 50% of the money spent on marketing programs is wasted. But which 50%?

That question can finally be answered in the new era of advanced analytics – and by Adverity Marketing Data Analytics Platform. No more tedious number crunching on spreadsheets for marketing teams, thanks to this popular solution on SAP Store. Now, data-driven marketers can take advantage of fully automated data integration for a single source of truth on the performance of their programs and move past “point-in-time” performance monitoring toward insights that lead to tangible actions.

I spoke with Sven Woeltjen, partner manager with Adverity GmbH, to find out more about the solution’s impact on the life of a marketer.

“From every source – paid search, social media, direct demand-generation campaigns, events – you get different data in different formats,” Woeltjen said. “Everyone is asking for ROI, and no one has the answer. Many marketing teams work in silos. Harmonizing and cleansing the data from all the different sources is a labor-intensive process that’s prone to mistakes, and typically takes many days. As a result, marketers spend more time wrangling data than they do interpreting it, meaning they miss out on opportunities to optimize performance and improve ROI. They don’t have current info and can’t produce timely reports. Those are the problems Adverity solves.”

Reporting in Near Real Time

With the Adverity solution, marketers can create omnichannel overviews in near real time. Integration with SAP ERP and SAP Marketing Cloud allows them to enrich their insights by pulling in data from finance or HR or whatever interests them, Woeltjen continued. The ability to build ad-hoc reports on their own enables them to explain to the business the impact of what they’re doing whenever they’re asked. Report templates and data visualization tools make that even easier. “With tangible results based on real data, they can turn their attention to the next program or campaign rather than the next report,” he added. “By better understanding what works and what doesn’t, they can make decisions from a strategic standpoint.”

In fact, Woeltjen speaks from experience after spending his career in marketing, including tenure with an agency where he was using the Adverity solution himself. He ended up approaching the company about potential partner opportunities and, not long after, joined the firm and worked with its most important partner, SAP.

Understanding Marketing Challenges – as Marketers

I asked Woeltjen to tell me more about the company, which was established in 2015. Like him, the founders themselves were working in the marketing field, experiencing the data challenges , and saw an opportunity. The company has grown steadily since then, largely by building relationships, understanding customers’ needs, and building new features accordingly – as all good marketers do. For example, an augmented analytics module uses machine learning to analyze large amounts of data, identify trends and anomalies, and deliver suggestions for improvements that enable marketers to proactively address issues affecting performance.

Teamwork is a crucial factor for Adverity. The implementation team sits next to the developers to promote collaboration. Even as they have transitioned to working from home, the relationships are in place. Now with about 250 employees, based largely in Austria, the U.S., and the UK, the company plans to double in size this year. With offices in London and New York City already, Adverity plans to establish a presence on the West Coast of the U.S. and in the Asia-Pacific-Japan region. As a digital company with most employees working remotely, not just during the pandemic, he commented, “We can hire the best people.”

And speaking of the pandemic, Adverity has been in the position to cushion some of the fallout for customers suddenly making the transition to online marketing. “Here in Germany, for example, many stores have been closed for a full year,” Woeltjen remarked. “People have had to get used to buying more online, causing many smaller businesses – distilleries, for example – to sell directly to consumers and use their marketing budgets to acquire customers online. We can help them with our tool.”

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DataRobot’s Zepl acquisition bridges the AI divide

DataRobot revealed yesterday during an online AI Experience Worldwide conference that it has acquired Zepl as part of a larger effort to enable data scientists to customize AI models developed on its platform. Zepl created an open source Apache Zepyl notebook that enables data scientists to collaboratively develop and analyze code written in Python, R, or Scala.

DataRobot also unveiled a slew of updates, including an ability to clone, edit, and reconfigure machine learning blueprints created using the AutoML framework at the core of its platform for constructing AI models. That Composable ML feature enables organizations to integrate their own custom training code with the AutoML framework employed by DataRobot, senior VP Nenshad Bardoliwalla said. “Data scientists can now tweak our AI models,” he added.

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SAP receives the European startup-friendly certificate and takes the lead on GlassDollar’s corporate-startup collaborations ranking

We are excited to announce that SAP has received the European startup-friendly certificate by ranking 4th in GlassDollar corporate startup collaborations ranking for 2021. At SAP.iO, we take a lot of pride in helping innovators start up and scale with SAP and help deliver cutting edge solutions to our customers via our open innovation ecosystem. We would therefore like to congratulate everyone that has been part of this incredible journey and may the future be just as exciting for SAP and our customers.

Learn more here.

 

VNTANA Launches 3D Digital Showroom to help Fashion Brands Sell Online to Retailers

VNTANA, the industry leader in 3D Content Management Software (CMS),  announced the launch of VNTANA’s new 3D Digital Showroom, which allows brands to instantly and easily create secure, shareable 3D digital showrooms with their existing designs. The 3D Digital Showroom looks like a traditional line sheet with interactive 3D versions of products.

By using 3D versions of products, brands can showcase products even before samples have been produced saving thousands of dollars and providing a differentiated experience for their customers.

The VNTANA platform has patented algorithms to ensure 3D models load fast with the highest quality images. The platform generates a sharable link and QR code to make sharing easy. Each file holds metadata, so all product information, such as fabric and style number is tied to the 3D file. A 3D digital showroom can be created in minutes instead of weeks by following a simple set of steps.

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AI-Driven Dispatch & Routing Software from Wise Systems Now Available on SAP® Store

Wise Systems today announced that its AI-Driven Dispatch & Routing software is now available on SAP® Store, the digital marketplace for SAP and partner offerings. Wise Systems’ software integrates with SAP S/4HANA® and delivers dynamic AI solutions for last-mile operations.

“In today’s fast-moving transportation industry, dynamic solutions that enable fleets to maximize fleet efficiency, reduce carbon footprint, and improve customer experience are needed now more than ever,” said Chazz Sims, CEO and co-founder of Wise Systems. “Integration with SAP S/4HANA and availability on SAP Store extends the reach of our powerful AI platform to the extensive network of companies that use SAP technologies and equips them with a competitive edge in last-mile operations.”

Wise Systems brings a relentless focus on optimizing the delivery experience and outcomes with its extensive suite of AI-driven routing and dispatching capabilities for delivery recipients, drivers, dispatchers, and managers. The company’s real-time, fully automated system is already powering delivery and service operations for a wide variety of customers ranging from multi-billion dollar global enterprises, including Anheuser-Busch and Lyft, to market leaders across food, beverage, parcel, courier, field service, and other industries.

Wise Systems’ platform combines a powerful, AI-driven optimization engine with intuitive user experiences for delivery recipients, drivers, dispatchers and managers. With integration to SAP S/4HANA, Wise Systems pulls orders from the SAP system into the platform, creates optimal routes, and then synchronizes the routing data back to SAP S/4HANA to improve the efficiency and service of last-mile operations.

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Roambee Recognized In Magic Quadrant For Real-Time Transportation Visibility Platforms’

Roambee is identified as one of the 9 global supply chain technology companies in ‘2021 Gartner Tracking and Monitoring Business Process Context: Magic Quadrant for Real-Time Transportation Visibility Platforms.’ According to the report, “In real-time transportation visibility platforms (RTTVPs), the data is collected from the carrier rather than from an independent IoT devices as in the case of tracking and monitoring solutions.” The report further states, “It can also extend the visibility beyond the delivery of the product and is often used to track the location and condition of the product in the yard or the warehouse.”

Roambee delivers dedicated monitoring solutions built on real-time location, temperature, spoilage, damage, and tamper signals. It combines such first-hand sensor inputs with non-sensor intelligence to offer trusted insights and foresights that drive logistics automation.

Roambee’s recent award-winning sensor, the BeeSense Air, is an example of dedicated monitoring of multimodal shipments, making it possible for any actor in the air cargo supply chain to get firsthand visibility at a package level. Roambee’s Honeycomb – an immersive location-aware platform coupled with its suite of sensors is purpose-built for applications like capturing demand signals at point of sale, optimizing returnable packaging inventory, monitoring ocean cargo from the first to the last mile, and more.

Gappify, Inc. Announces Closing of Equity Financing

Gappify, Inc. (“Gappify”), a provider of digital workers for the accounting enterprise, today announced that it has completed a financing round led by Stage 2 Capital. As part of the transaction, Stage 2 Capital Managing Partner, Jay Po, will join Gappify’s Board of Directors.

Gappify, whose team consists of former accountants and KPMG auditors, will use the funding to invest in new product development and accelerate sales and marketing efforts.

“Gappify is excited to build innovative, industry-leading products that help corporate accountants close their books faster and in a compliant and efficient manner,” said Jotham Ty, CEO and founder of Gappify. “This investment will enable our team to develop autonomous solutions for more processes within the Controllership, and provide our customers an enhanced experience with robust capabilities and deep system integrations.”

“We were impressed with Gappify’s vision for modernizing the accounting profession,” added Stage 2 Capital’s Jay Po. “With more CFOs prioritizing efficiencies and compliance in their accounting organization, we see an enormous opportunity to partner with Gappify to accelerate digital transformation efforts and create immediate value for the Controllership function.”

Other participants in the financing round include SaaS Ventures, Manila Angel Investor Network, Pasudeco Investment Management Corporation, Overtime.vc, and former Oracle CFO Jeff Epstein.

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DataRobot Acquires Zepl to Enhance Enterprise AI Platform Capabilities for Advanced Data Scientists

DataRobot, the leader in enterprise AI, today announced the acquisition of Zepl, a cloud data science and analytics platform. The acquisition — unveiled today at DataRobot’s virtual conference, AI Experience Worldwide — will unlock new capabilities within DataRobot’s enterprise AI platform for the world’s most advanced data scientists.

“We have always known that to lead the AI market, we must embrace all creators of AI systems, from analysts and citizen data scientists who prefer using a GUI to advanced data scientists who love to code,” said Dan Wright, CEO of DataRobot. “Through the addition of Zepl, we now give advanced data scientists more flexibility to use our enterprise AI platform within their existing workflows, including the ability to use their own code. By incorporating Zepl into the DataRobot platform, we plan to further democratize data science across every enterprise and significantly accelerate our code-centric roadmap.”

Zepl was founded by the creators of Apache Zeppelin, an open source notebook for data and analytics that has been downloaded more than 500,000 times by data scientists from some of the biggest brands in the world. Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala with enterprise-ready features such as collaboration, versioning, and security.

DataRobot will incorporate Zepl as a cloud-native, self-service notebook in its enterprise AI platform to drive productivity, efficiency, and collaboration for multiple personas. This will unlock additional flexibility for data scientists who prefer to code by allowing them to write their own tasks and custom models extending the out-of-the-box capabilities provided by DataRobot. With the integration of Zepl, business analysts will be able to build models using the power of DataRobot’s automation and then collaborate with their advanced data science colleagues for additional customization if desired, all on the same platform. It will also provide a more transparent view of the code behind DataRobot blueprints, further enhancing trust and explainability within the platform.

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Final-mile fulfillment startup parcelLab closes $112M Series C funding led by Insight Partners

Munich-based parcelLab, which offers a final-mile fulfillment service for online retailers, has closed a $112 million (GB£80 million) Series C funding round led by the U.S. VC/PE firm Insight Partners.

Germany’s Endeit Capital participated as a co-investor, alongside existing investors Capnamic Ventures and coparion. ParcelLab last raised an undisclosed Series B in October 2019. The new funding will feed into parcelLab’s global expansion plans and new product development.

Founded in 2015 by Tobias Buxhoidt (CEO), Julian Krenge (CTO) and Anton Eder (COO), the startup has managed to bag such customers as Lidl, to which it provides automated personalized shipping messages. This means that as much as 85% of Lidl customers return to its website.

It also works with Ikea and Farfetch to increase basket sizes and email open rates of — it claims — over 90%, 25% reductions in WISMO (where is my order) and increases of customer reviews.

In a statement, Tobias Buxhoidt, CEO and founder of parcelLab, said: “As e-commerce becomes increasingly competitive, providing unique and branded experiences will drive growth. Identifying opportunities to further connect with people and build a better, stronger relationship is a key differentiator.”

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Pecan AI Raises $35M To Accelerate AI Adoption In Predictive Analytics

Israeli startup Pecan AI, the business-ready predictive analytics company announced on Wednesday it raised $35 million in new funding to “equip both commercial analysts and business stakeholders with the power of predictive AI,” the company said in a statement.

The round was led by global investor GGV Capital with participation from Vintage as well as existing investors Dell Technologies Capital, S-Capital, and Mindset.

This round brings the company’s total financing to more than $50 million.

This Series B will allow Pecan to expand its operations globally and continue to help organizations accelerate the adoption of AI and advanced analytics.

“Pecan was designed to drive business value from AI. In one intuitive platform, analysts and business stakeholders can obtain actionable insights and see outputs in a matter of days after adding their raw data — helping companies evolve from BI to AI,” said Zohar Bronfman, CEO and co-founder at Pecan, “We have seen tremendous uptake from organizations of all sizes, and are looking forward to expanding globally and bringing real business value to our customers.”

The business world knows that AI will somehow power the next revolution in analytics. But rollouts of AI have been slow, and there is a gap estimated in the dozens of billions of dollars between the potential of AI and businesses’ ability to implement and deploy complex models. Pecan “democratizes data science and AI” by putting the power of predictive modeling in the hands of business analysts with a platform that models its straightforwardness after classic BI.

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BigID: $30 Million Funding And $1.25 Billion Valuation

BigID — a leader in data discovery and intelligence for privacy, protection and perspective — announced a $30 million investment from Advent International, extending the company’s $70 million Series D financing raised in December 2020. And BigID has raised $200 million over 4 rounds since September 2019. This latest funding round brings BigID’s valuation to $1.25 billion.

The pandemic accelerated all automation and digital transformation programs by several years as companies recognize the importance of innovating, placing increased pressure on IT leaders to deliver digital initiatives and overcome issues such as data silos. And BigID’s platform reimagines data management for enterprises, combining machine learning-based classification, cataloging, correlation, and cluster analysis to help companies better understand, protect, and derive value from their data. This funding will help BigID expand globally, boost its go-to-market efforts and advance product development in the areas of data privacy, security, and governance.

Advent International is joining BigID’s existing investors including Salesforce Ventures, Tiger Global Management, Glynn Capital, Bessemer Venture Partners, Scale Venture Partners, and Boldstart Ventures.

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Too Good To Go Expands Its Food Waste App Nationally Across the U.S.

Not so very long ago, the United States lagged far behind Europe in terms of the widespread availability of food rescue apps. Fortunately, a heightened awareness of the world’s food waste problem has changed this and created opportunities for food rescue companies in the U.S.

Case in point: Too Good To Go’s recent expansion westward. The company, originally started in Denmark, today announced its plans to expand across the United States, following a successful program in select East Coast states. The first stop is San Francisco, with 200-plus food businesses participating, including Mission Chinese, La Boulangerie, and Indie Superette.

Via the Too Good To Go app, users can browse surplus food options from participating restaurants, bakeries, and grocery stores at the end of every day. They can then sign up for a “surprise bag” which includes surplus items from these businesses. Depending on the business from which it’s ordered, that bag could include pastries, extra sushi rolls, surplus produce, and many other items.

Too Good to Go brought its app Stateside in 2020, starting in New York City. The company followed that move with a $31 million fundraise at the start of this year, specifically meant to enable a wider expansion around the U.S.

And while the concept of food rescue might be more commonplace Stateside compared to a couple years ago, it’s still unusual in the restaurant biz. Grocery delivery services like Misfits Market and Imperfect Foods address the grocery sector. Canada’s Flashfood app, based in Toronto, Ontario, similarly addresses surplus food in the grocery store via its U.S. partnership with Meijer.

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Too Good To Go Expands Its Food Waste App Nationally Across the U.S.

Not so very long ago, the United States lagged far behind Europe in terms of the widespread availability of food rescue apps. Fortunately, a heightened awareness of the world’s food waste problem has changed this and created opportunities for food rescue companies in the U.S.

Case in point: Too Good To Go’s recent expansion westward. The company, originally started in Denmark, today announced its plans to expand across the United States, following a successful program in select East Coast states. The first stop is San Francisco, with 200-plus food businesses participating, including Mission Chinese, La Boulangerie, and Indie Superette.

Via the Too Good To Go app, users can browse surplus food options from participating restaurants, bakeries, and grocery stores at the end of every day. They can then sign up for a “surprise bag” which includes surplus items from these businesses. Depending on the business from which it’s ordered, that bag could include pastries, extra sushi rolls, surplus produce, and many other items.

Too Good to Go brought its app Stateside in 2020, starting in New York City. The company followed that move with a $31 million fundraise at the start of this year, specifically meant to enable a wider expansion around the U.S.

And while the concept of food rescue might be more commonplace Stateside compared to a couple years ago, it’s still unusual in the restaurant biz. Grocery delivery services like Misfits Market and Imperfect Foods address the grocery sector. Canada’s Flashfood app, based in Toronto, Ontario, similarly addresses surplus food in the grocery store via its U.S. partnership with Meijer.

Read More…

Astraea announces partnership with Cuebiq

Astraea, developer of the EarthAI geospatial analytics platform, has announced a partnership with Cuebiq, a leader in mobility intelligence and offline consumer insights. Fusing geospatial and mobility datasets give organizations a comprehensive understanding of the Earth’s surface and those who live on it. By combining Cuebiq’s innovative, flexible tools and vast mobility data catalog with Astraea’s end-to-end AIOps platform, the partnership brings together two important and growing data sets, giving consumers secure, accurate intelligence.

“As a Benefit Corporation, we see incredible value in partnering with Cuebiq and their multiple Data for Good initiatives,” said Brendan Richardson, Astraea CEO. “As the Earth changes, we need a new data infrastructure to unlock GeoAI, and partnering with Cuebiq allows us to do just that.”

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